MekaNet / medical AI pipelines
Medical image pipelines where scale, validation, and clinical reporting shape the AI system.
Whole-slide-image and cell-analysis pipelines for pathology tasks such as tiny-object detection and cellularity assessment.
problem
Clinical WSI data is large, sparse, and institution-dependent; methods need careful validation and reporting to be credible.
why it matters
It demonstrates the applied-AI side of turning expert data into inspectable, publishable systems.
maker note
The maker problem here is scale. Gigapixel images do not fit neatly into toy examples, so the system has to respect the data.
what I built
- • Data and result validation support
- • WSI/tiny-object detection project scaffolding
- • Medical AI release/manuscript support
evidence
- • MekaNet release/project artifacts
- • Under-review manuscript line
current status
Research/manuscript track with external clinical context.
next step
Keep public portfolio detail concise while preserving enough evidence of technical scope.
role
Technical contributor for data, evaluation, and manuscript reliability.
tags
Public external link pending; this detail page keeps the research narrative stable until the artifact is ready to expose.