HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)

SAM Enhance Mask Quality for WSSS: This repository provides tools for generating, evaluating, and visualizing enhanced pseudo masks for Weakly Supervised Semantic Segmentation (WSSS) using the Segment Anything Model (SAM).

A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains (IJCV submission)

The code and pretrain models of EDAM-WSSS(Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation)

WSSS, Spatial-BCE

Overview and short reviews of papers in WSSS for histopathological image

LPD: Learnable Prototypes with Diversity Regularization for Weakly Supervised Histopathology Segmentation

ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation.ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation

Enhanced weakly-supervised segmentation achieving SOTA 56.2% mIoU on COCO - High-level methodology & results (detailed implementation proprietary)