breast-cancer-segmentation

[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".

The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).

The implementation of our MLMI19 oral paper "WSI-Net: Branch-based and Hierarchy-aware Network for Segmentation and Classification of Breast Histopathological Whole-slide Images."

Breast cancer histopathology image segmentation using U-Net. This repository implements U-Net for accurate segmentation of cancerous regions. It includes data augmentation, mixed precision training, checkpointing, and evaluation metrics like Dice score to improve model performance.

A comprehensive breast ultrasound image segmentation study evaluating 11 deep learning encoders and 11 transformer backbones, culminating in HEMF-Net, a hierarchical attention-based fusion framework for precise lesion delineation.

Mammogram Segmentation using voting-based inference algorithm