medical-imaging-segmentation

3D brain tumor segmentation · SwinUNETR v2 · 0.8961 Dice on BraTS 2021 · WebGL viewer with hand gesture control · LangGraph AI agents · AWS Terraform deployment

Official Repository for the MELBA paper entitled "Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation".

Investigating DRL DCVAE} for mitigating 15% domain shift in cardiac MRI segmentation. Conclusively proves the Information Bottleneck trade-off: 0.02 generalization gap vs. 0.25 DSC performance. Structural limits of DRL identified for high-detail medical tasks.

Cross-platform SAM-assisted image annotation and resumable expert review with polygon editing, audit trails, change detection, timing, provenance, and CSV export.

Real-time polyp segmentation with YOLO26-seg fine-tuned on Kvasir-SEG.

Medical imaging data pipeline and computer vision project for fetal CT segmentation, focused on dataset reconstruction, data quality and PyTorch training.

Cardexa is a research grade clinical AI system for coronary angiography, ECG analysis, vessel segmentation, coronary lesion localization, QCA, 3D reconstruction and clinical report generation.

3D SlicerとAIによる整形外科の3D術前計画 — 医療者向け技術解説サイト

Autoresearch tools for 3D medical imaging segmentation with MIST.

Lightweight deep learning model (2M params) for nuclei segmentation in H&E histopathology images. Developed for a BSc AI Thesis at UvA.

A PyTorch implementation of Gated Dual-Stream Multiple Instance Learning (DSMIL) for BRCA1/BRCA2 gene expression classification from Whole Slide Images using UNI and CONCH foundation models. Built on TCGA-BRCA with patient-grouped cross-validation

Hybrid ML pipeline using FCM segmentation, EfficientNetB4 feature extraction, and XGBoost for leukemia detection.