(Medical Image Analysis)Official implementation of "Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation"

[MICCAI 2024]Official implementation of "Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining"

A universal cell segmentation model designed to accurately segment cells of varying shapes across a wide range of multimodality microscopic images, including brightfield, fluorescent, phase contras…

TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)

PyTorch for Semantic Segmentation

ECCV2018

Superpixel-based and boundary-sensitive convolutional neural network for medical segmentation