# RedBrick AI Docs

## Docs

- [AltaDB DICOM storage for medical imaging](https://app.redbrickai.com/docs/altadb/getting-started.md): Set up AltaDB, RedBrick AI's high-performance DICOM storage, to index, organize, and stream medical imaging data for annotation projects.
- [Create, edit, and delete annotations](https://app.redbrickai.com/docs/annotation-and-viewer/creating-editing-and-deleting-annotations.md): Learn how to create, edit, and delete object labels, classifications, and entities in the RedBrick AI annotation tool sidebar and canvas.
- [Heat maps and scalar volume overlays](https://app.redbrickai.com/docs/annotation-and-viewer/heat-maps.md): Overlay scalar volumetric data such as perfusion, radiotherapy, and oxygenization maps on medical images in RedBrick AI using the heat map feature.
- [Segmentation overview and toolkit](https://app.redbrickai.com/docs/annotation-and-viewer/segmentation/home.md): Explore the RedBrick AI segmentation toolkit, including instance vs. semantic segmentation, overlapping masks, and reference standards configuration.
- [Instance vs. semantic segmentation](https://app.redbrickai.com/docs/annotation-and-viewer/segmentation/instance-vs-semantic.md): Understand the difference between instance and semantic segmentation in medical imaging and learn how to do both in RedBrick AI projects.
- [Overlapping segmentations and masking](https://app.redbrickai.com/docs/annotation-and-viewer/segmentation/overlapping-segmentations.md): Configure overlapping segmentation behavior in RedBrick AI using editable area and modify segment controls, and export each mask as a separate NIfTI file.
- [Segmentation tools (brush, pen, contour, FAST)](https://app.redbrickai.com/docs/annotation-and-viewer/segmentation/segmentation-tools.md): Reference for RedBrick AI segmentation tools including the brush, adaptive brush, pen, contour, mask propagation, and FAST AI-assisted segmentation.
- [Segmentation tips and tricks](https://app.redbrickai.com/docs/annotation-and-viewer/segmentation/tips-tricks.md): Practical segmentation workflows in RedBrick AI, including splitting entities into two and inspecting disjoint regions with the connected components panel.
- [Annotation mirroring across volumes](https://app.redbrickai.com/docs/annotation-and-viewer/viewer-basics/annotation-mirroring.md): Mirror segmentation labels across multiple co-registered volumes in a single study so you can compare scans and edit the same mask in RedBrick AI.
- [Curved planar reconstruction (CPR) views](https://app.redbrickai.com/docs/annotation-and-viewer/viewer-basics/cpr-views.md): Upload centerline data and visualize curved planar reconstruction (CPR) views in RedBrick AI for vascular structures and tubular anatomy along a path.
- [Document viewer for text reports](https://app.redbrickai.com/docs/annotation-and-viewer/viewer-basics/document-viewer.md): Upload and view text reports alongside medical images in RedBrick AI by adding .txt files as a series in your task using the items list format.
- [Annotation tool and viewer basics](https://app.redbrickai.com/docs/annotation-and-viewer/viewer-basics/home.md): Learn the RedBrick AI annotation interface, including the sidebar, top bar, context panel, main canvas, and shortcuts for navigating CT, MRI, and X-ray volumes.
- [IntelliSync scroll and reference line sync](https://app.redbrickai.com/docs/annotation-and-viewer/viewer-basics/intellisync.md): Use IntelliSync in RedBrick AI to synchronize scroll position and reference lines across multiple co-registered series, such as T1 and T2 MRI scans, in a study.
- [Annotate multiple modalities in one study](https://app.redbrickai.com/docs/annotation-and-viewer/viewer-basics/multiple-modalities.md): Combine 2D images, videos, and 3D DICOM or NIfTI volumes into a single annotation task in RedBrick AI and switch tools per viewport modality.
- [Visualization and masking settings](https://app.redbrickai.com/docs/annotation-and-viewer/visualization-and-masking.md): Adjust windowing, presets, label opacity, outlines, and masking controls in RedBrick AI to optimize medical image visualization for segmentation.
- [RedBrick AI application changelog](https://app.redbrickai.com/docs/changelogs/redbrick-changelog.md): Release notes and version history for the RedBrick AI medical annotation platform, covering new features, improvements, and bug fixes by version.
- [RedBrick AI Python SDK changelog](https://app.redbrickai.com/docs/changelogs/redbrick-sdk-changelog.md): Release notes and version history for the RedBrick AI Python SDK and CLI, including new methods, breaking changes, and bug fixes across versions.
- [Account settings and MFA](https://app.redbrickai.com/docs/dashboard/account-settings.md): Manage your RedBrick AI account, including multi-factor authentication, biographical information, password, weekly summary emails, and application version.
- [Billing page and seat management](https://app.redbrickai.com/docs/dashboard/billing.md): Use the RedBrick AI billing page to access Stripe invoices, manage seats, configure billing emails, and review Boost and AltaDB usage for your organization.
- [Auto Annotator AI pre-labeling](https://app.redbrickai.com/docs/dashboard/boost/auto-annotator.md): Add the RedBrick AI Auto Annotator to a project to generate CT and MR segmentation masks for hundreds of structures and feed them in as pre-labels.
- [Boost AI-assisted segmentation engine](https://app.redbrickai.com/docs/dashboard/boost/home.md): Enable and manage Boost instances to power RedBrick AI features like FAST, Mask Propagation, and Auto Annotator, or bring your own segmentation model.
- [Dashboard home page and navigation](https://app.redbrickai.com/docs/dashboard/home/home.md): Browse, search, and filter your RedBrick AI projects and workspaces from the dashboard home page, and create new projects, workspaces, or sections.
- [Sections for organizing projects](https://app.redbrickai.com/docs/dashboard/home/sections.md): Use sections in RedBrick AI to group workspaces and projects in the dashboard sidebar, making it easier for admins to organize and navigate resources.
- [Storage integrations and API keys](https://app.redbrickai.com/docs/dashboard/integrations.md): Configure external storage methods like AWS S3, GCS, and Azure Blob, and manage API keys for the RedBrick AI SDK and CLI from the integrations page.
- [Preview tool for images and annotations](https://app.redbrickai.com/docs/dashboard/preview-tool.md): Use the RedBrick AI preview tool to view local or cloud-stored medical images and annotation files in the annotation interface without creating a project.
- [Desktop application (PWA install)](https://app.redbrickai.com/docs/dashboard/pwa.md): Install RedBrick AI as a desktop progressive web app (PWA) from Google Chrome to open medical images directly from your file system into the viewer.
- [Taxonomies and labeling schemas](https://app.redbrickai.com/docs/dashboard/taxonomies.md): Define object label types, classifications, attributes, and nested categories in a RedBrick AI taxonomy to enforce a structured medical annotation schema.
- [Team page and member management](https://app.redbrickai.com/docs/dashboard/team-page.md): View, invite, and manage RedBrick AI organization members including active users, inactive users, pending invites, roles, and identity provider details.
- [User preferences and custom shortcuts](https://app.redbrickai.com/docs/dashboard/user-preferences.md): Customize your RedBrick AI experience by configuring custom keyboard shortcuts for the dashboard and annotation editor in the user preferences panel.
- [Worklist for assigned and cached tasks](https://app.redbrickai.com/docs/dashboard/worklist.md): Track outstanding RedBrick AI tasks across projects with the worklist, including caching state, task progress, stages, and per-task actions.
- [RedBrick AI documentation and guides](https://app.redbrickai.com/docs/home.md): Documentation, walkthrough guides, SDK references, and tutorials for RedBrick AI, the web-based annotation platform for CT, MRI, X-ray, and other medical data.
- [Configure AWS S3 storage for RedBrick AI](https://app.redbrickai.com/docs/importing-data/import-cloud-data/configuring-aws-s3.md): Prepare an Amazon S3 bucket with IAM credentials, CORS, and an items list so RedBrick AI can import DICOM and NIfTI data directly from your S3 storage.
- [Configure Azure Blob Storage for RedBrick AI](https://app.redbrickai.com/docs/importing-data/import-cloud-data/configuring-azure-blob.md): Set up an Azure Storage account, container, and credentials so RedBrick AI can import DICOM and NIfTI data directly from Azure Blob Storage.
- [Configure Google Cloud Storage for RedBrick AI](https://app.redbrickai.com/docs/importing-data/import-cloud-data/configuring-gcs.md): Create a GCS bucket, service account, and key so RedBrick AI can import medical imaging data directly from Google Cloud Storage into your projects.
- [Create an items list JSON for imports](https://app.redbrickai.com/docs/importing-data/import-cloud-data/creating-an-items-list.md): Build a RedBrick AI items list JSON file that points to data in AWS S3, GCS, or Azure Blob storage so each entry becomes a task in your annotation project.
- [Import cloud data into RedBrick AI](https://app.redbrickai.com/docs/importing-data/import-cloud-data/home.md): Connect AWS S3, Google Cloud Storage, or Azure Blob Storage to RedBrick AI and upload an items list to import medical imaging data without copying files.
- [Troubleshoot data loading and 404 errors](https://app.redbrickai.com/docs/importing-data/troubleshooting.md): Diagnose RedBrick AI data loading failures including 404 errors, file path issues, network problems, and external storage integration misconfigurations.
- [Upload data directly to RedBrick AI](https://app.redbrickai.com/docs/importing-data/uploading-data-to-redbrick.md): Review supported DICOM, NIfTI, and image formats and learn how to upload medical imaging data directly to RedBrick AI servers using the Direct Upload feature.
- [Organization billing and Stripe portal](https://app.redbrickai.com/docs/organizations/billing.md): Access invoices, payment methods, subscription details, and seat and AltaDB usage breakdowns for your RedBrick AI organization via the Stripe billing portal.
- [Single sign-on (SSO) for enterprise teams](https://app.redbrickai.com/docs/organizations/single-sign-on.md): Configure single sign-on (SSO) for RedBrick AI to let your team log in using trusted internal credentials and manage SSO-based invites for your organization.
- [Organizations, projects, and role permissions](https://app.redbrickai.com/docs/organizations/what-is-an-organization.md): Understand RedBrick AI organizations and projects, including organization-level and project-level roles such as Org Owner, Admin, Project Manager, and labeler.
- [RedBrick AI privacy policy](https://app.redbrickai.com/docs/privacy-policy.md): Read the RedBrick AI privacy policy, which describes how user data and medical imaging information are collected, processed, stored, and protected by RedBrick.
- [Project data page for tasks and metrics](https://app.redbrickai.com/docs/project-pages/data-page.md): Use the RedBrick AI project data page to manage tasks, view task histories and states, filter the task list, and track work completed by your annotation team.
- [Inter-annotator agreement calculation](https://app.redbrickai.com/docs/project-pages/multiple-labeling/consensus/agreement-calculation.md): Learn how RedBrick AI computes inter-annotator agreement using IOU for boxes, polygons, and masks, and normalized RMSE for landmarks in consensus projects.
- [Consensus projects and multi-reader studies](https://app.redbrickai.com/docs/project-pages/multiple-labeling/consensus/home.md): Run consensus projects in RedBrick AI to have multiple labelers annotate each task and compute inter-annotator agreement scores for higher-quality ground truth.
- [Multiple labeling and multi-reader projects](https://app.redbrickai.com/docs/project-pages/multiple-labeling/home.md): Choose between consensus (multi-reader, single output) and task duplication (multi-reader, multiple output) workflows for multi-labeler studies in RedBrick AI.
- [Task duplication for multi-reader studies](https://app.redbrickai.com/docs/project-pages/multiple-labeling/task-duplication.md): Use task duplication in RedBrick AI to create N sibling tasks from a single image so multiple labelers can independently produce N unique ground truth records.
- [Releases and point-in-time task snapshots](https://app.redbrickai.com/docs/project-pages/releases.md): Capture point-in-time snapshots of project tasks in RedBrick AI with releases so you can revisit a stable dataset for exports, QA, and traceability later.
- [Custom hanging protocols for projects](https://app.redbrickai.com/docs/project-pages/settings-page/custom-hanging-protocol.md): Write a custom hanging protocol script in RedBrick AI to dynamically arrange viewports, windowing, masking, and layout tabs for every task in a project.
- [Custom label validation scripts](https://app.redbrickai.com/docs/project-pages/settings-page/custom-label-validation.md): Define a JavaScript validation script in RedBrick AI to enforce annotation schemas, warn labelers in real time, and block submission of invalid tasks.
- [Project settings and configuration](https://app.redbrickai.com/docs/project-pages/settings-page/home.md): Configure RedBrick AI project workflows, exports, label validation, hanging protocols, direct uploads, tool settings, bulk actions, and metadata exports.
- [Webhooks for task events](https://app.redbrickai.com/docs/project-pages/settings-page/webhooks.md): Configure RedBrick AI webhooks to receive HTTP push notifications for project events including task created, task entered stage, and task deleted.
- [Comments and raised issues on tasks](https://app.redbrickai.com/docs/projects/comments-and-raised-issues.md): Use comments and raised issues in RedBrick AI to discuss specific annotations, organize threaded conversations, and flag problems on tasks for your team.
- [Labeler evaluation with ground truth](https://app.redbrickai.com/docs/projects/labeler-evaluation.md): Evaluate labeler performance in RedBrick AI by uploading ground truth annotations alongside images and running blinded or non-blinded evaluation tasks.
- [Project and task analytics in RedBrick AI](https://app.redbrickai.com/docs/projects/project-and-task-analytics.md): Track project and labeler productivity in RedBrick AI with task-level metrics including finalizations, completions, time spent, and per-user work history.
- [Reference standards for labelers](https://app.redbrickai.com/docs/projects/reference-standards.md): Designate ground truth tasks as reference standards in RedBrick AI so labelers can view annotated examples and clearer instructions during their work.
- [Tasks and assignment in RedBrick AI](https://app.redbrickai.com/docs/projects/tasks-and-assignment.md): Learn how tasks move through a RedBrick AI project pipeline and how to delegate work to labelers and reviewers using automatic or manual task assignment.
- [RedBrick AI SDK on PyPI](https://app.redbrickai.com/docs/pypi.md): Visit the redbrick-sdk package on PyPI to install the RedBrick AI Python SDK and CLI using pip for medical imaging annotation workflows and integrations.
- [Create and clone projects with the CLI](https://app.redbrickai.com/docs/python-sdk/cli-overview/creating-and-cloning-projects.md): Use the RedBrick AI CLI to create a new project from scratch or clone an existing project into a local directory for data import, export, and other actions.
- [Export annotations with the RedBrick CLI](https://app.redbrickai.com/docs/python-sdk/cli-overview/exporting-annotations.md): Use the RedBrick AI CLI to incrementally export new annotations from a project into a local directory, generating only files for newly annotated tasks.
- [RedBrick AI CLI overview and setup](https://app.redbrickai.com/docs/python-sdk/cli-overview/home.md): Install and configure the RedBrick AI command line interface to programmatically import, export, and manage projects without writing Python scripts.
- [Annotation export structure and folders](https://app.redbrickai.com/docs/python-sdk/formats/export-structure.md): Reference the directory layout, tasks.json, NIfTI segmentation files, and variations produced when exporting annotations from RedBrick AI projects.
- [Items list and tasks.json format reference](https://app.redbrickai.com/docs/python-sdk/formats/full-format-reference.md): Full schema reference for the RedBrick AI items list and tasks.json files used to import data and represent exported annotation work in a project.
- [Full RedBrick AI SDK reference](https://app.redbrickai.com/docs/python-sdk/full-documentation.md): Browse the full reference documentation for the RedBrick AI Python SDK and CLI, including modules, classes, methods, and type definitions on sdk.redbrickai.com.
- [Import annotations into RedBrick AI](https://app.redbrickai.com/docs/python-sdk/importing-annotations-guide.md): Step-by-step guide for importing segmentations, classifications, bounding boxes, and other annotation types into RedBrick AI using the Python SDK or CLI.
- [Install the SDK and generate API keys](https://app.redbrickai.com/docs/python-sdk/installation-and-api-keys.md): Install the RedBrick AI Python SDK and CLI from PyPI with pip and generate the API keys needed to authenticate scripts against your organization's projects.
- [Assign and query tasks with the SDK](https://app.redbrickai.com/docs/python-sdk/sdk-overview/assigning-and-querying-tasks.md): Use the RedBrick AI Python SDK to search project tasks by name, list tasks by stage, and programmatically assign or unassign tasks to specific users.
- [Export annotations with the Python SDK](https://app.redbrickai.com/docs/python-sdk/sdk-overview/exporting-annotations.md): Use the RedBrick AI Python SDK export_tasks method to export vector annotations as Python objects and segmentations as NIfTI, PNG, or RT Struct files.
- [RedBrick AI Python SDK overview](https://app.redbrickai.com/docs/python-sdk/sdk-overview/home.md): Install, configure, and initialize the RedBrick AI Python SDK to build data pipelines, run advanced scripts, and integrate annotations into your ML workflow.
- [Import data and annotations with the SDK](https://app.redbrickai.com/docs/python-sdk/sdk-overview/importing-data-and-annotations.md): Use the RedBrick AI Python SDK create_datapoints method to programmatically import local or cloud-stored medical imaging data with optional annotations.
- [Programmatic labeling and review with put_tasks](https://app.redbrickai.com/docs/python-sdk/sdk-overview/programmatic-label-and-review.md): Use the RedBrick AI SDK put_tasks method to programmatically add labels or review decisions to tasks assigned to your API key for automated bulk processing.
- [Create a RedBrick AI account](https://app.redbrickai.com/docs/quick-start/creating-a-redbrick-ai-account.md): Accept an invitation email, register, and complete first-time setup for your RedBrick AI account so you can join an organization and start annotating data.
- [Get started with a RedBrick AI project](https://app.redbrickai.com/docs/quick-start/get-started-with-a-project.md): Step-by-step walkthrough for creating your first RedBrick AI project, configuring the pipeline, and assembling a taxonomy to annotate medical imaging data.
- [Create cohorts in a workspace](https://app.redbrickai.com/docs/quick-start/get-started-with-workspace/cohort-creation.md): Use cohorts in RedBrick AI workspaces to organize, share, and quality-check medical imaging studies before sending them into annotation projects.
- [Configure workspace metadata schema](https://app.redbrickai.com/docs/quick-start/get-started-with-workspace/configuring-metadata-schema.md): Define a flexible metadata schema in a RedBrick AI workspace using number, string, datetime, and enum types extracted from CSV files or DICOM headers.
- [Datapoint classification in workspaces](https://app.redbrickai.com/docs/quick-start/get-started-with-workspace/datapoint-classification.md): Manually classify workspace datapoints with True or False, single-select, multi-select, and text classifications to enable richer searching and filtering.
- [Get started with RedBrick AI workspaces](https://app.redbrickai.com/docs/quick-start/get-started-with-workspace/home.md): Workspaces in RedBrick AI let you upload imaging data once and share it across multiple projects, with built-in metadata, cohorts, and visualization tooling.
- [RedBrick AI CLI developer reference](https://app.redbrickai.com/docs/sdk/cli.md): Open the full developer reference for the RedBrick AI command line interface at sdk.redbrickai.com to view all commands, flags, and configuration options.
- [Annotation object type definitions](https://app.redbrickai.com/docs/sdk/formats/annotations.md): Reference for every RedBrick AI annotation object type, including bounding boxes, polygons, landmarks, and segmentations, used for both import and export.
- [RedBrick AI import and export formats](https://app.redbrickai.com/docs/sdk/formats/index.md): Reference for the InputTask format used for importing data into RedBrick AI and the corresponding objects used for exporting annotations through the SDK or CLI.
- [Taxonomy object format reference](https://app.redbrickai.com/docs/sdk/formats/taxonomy.md): Reference for the RedBrick AI Taxonomy object, including AttributeOption, attributes, and category structures used in project labeling schemas.
- [Legacy RedBrick AI CLI reference](https://app.redbrickai.com/docs/sdk/legacy-cli.md): Legacy reference for the RedBrick AI command line interface used to import and export images and annotations and perform high-level project actions.
- [Python SDK reference (legacy)](https://app.redbrickai.com/docs/sdk/legacy-sdk.md): Legacy reference for the RedBrick AI Python SDK, covering functions for manipulating data, importing annotations, assigning tasks, and managing projects.
- [RedBrick AI Python SDK developer reference](https://app.redbrickai.com/docs/sdk/sdk.md): Open the full developer reference for the RedBrick AI Python SDK at sdk.redbrickai.com to browse modules, classes, methods, and type definitions.
- [Master troubleshooting guide for RedBrick AI](https://app.redbrickai.com/docs/troubleshooting/master-guide.md): A comprehensive collection of solutions, fixes, and best practices for common issues encountered when working with projects and annotations in RedBrick AI.
- [Occasionally asked questions about RedBrick AI](https://app.redbrickai.com/docs/troubleshooting/occasionally-asked-questions.md): Answers to less frequent but recurring questions about RedBrick AI, including tablet input device support, mobile compatibility, and other platform behaviors.

## OpenAPI Specs

- [openapi](https://app.redbrickai.com/docs/api-reference/openapi.json)