402-lab Goto Github PK

402-lab.github.io

哈尔滨理工大学（威海）402实验室

autometric

draw ROC,PR curve and calculate AUC MAP IoU for image semantic segmentation problem

cbim-medical-image-segmentation

dual-normalization

[CVPR‘22] Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization

efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

medical-cross-modality-domain-adaptation

[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)

pranet

PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

segmentation-pytorch

Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet

segrefiner

SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process

semantic-segmentation-pytorch

PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, GoogleNet, and more dataset

sfda-dpl

[MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling

sifa

[TMI'20, AAAI'19] Synergistic Image and Feature Adaptation

stage

MICCAI 2023 STAGE Challenge.

u2pl

[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

ummkd

[TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation

vt-unet

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation