Clinical and anatomical judgment
Experts define meaningful structures, inspect boundaries, and decide whether an annotation is appropriate for their research question.
THE PROPOSED WORKFLOW
From imaging data
to reviewable detail.
A research-first annotation approach designed to keep the researcher in control—from image inspection to contour refinement, quantitative modeling, and review.
Interactive illustrative brain annotation concept · Predefined candidate contours and geometric smoothing, not medical AI inference. No patient data.
FOUR CLEAR STAGES
A workflow built for human review.
Select any stage to see its research role. The interactive brain demo illustrates local contour drawing, predefined candidate suggestions, geometric smoothing and human review; it runs no trained AI model.
STAGE 01 · PREPARE
Begin with the imaging study
Review the selected imaging series and establish the anatomical area of interest before any annotation decisions.
Intended process · file intake is not available- Identify the intended imaging study
- Inspect image orientation and slice coverage
- Define the structure or region of interest
AN INTENTIONAL DIVISION
People lead. Computation assists.
Proposed AI and mathematical support
Planned methods may suggest candidate contours, apply geometric constraints, or assist boundary refinement. These capabilities are not implemented in this demo.
Human verification before use
Any future automated result would require expert review and task-specific evaluation before it could support a research workflow.
Explore a manual contour.
Inspect a synthetic slice, choose a region, and draw a trial contour to see where researcher input fits into the proposed workflow.