BingxianChen

BingxianChen's Stars

• xmed-lab/OEEM

  MICCAI 2022: Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images

  Language:Jupyter Notebook345

• DIAGNijmegen/neural-odes-segmentation

  Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands

  Language:Python10628

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3.1k529

• hms-dbmi/CHIEF

  Clinical Histopathology Imaging Evaluation Foundation Model

  Language:Python20228

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook3k406

• TIO-IKIM/CellViT

  CellViT: Vision Transformers for Precise Cell Segmentation and Classification

  Language:Python23037

• CVIU-CSU/TCT-InfoNCE

  Language:Jupyter Notebook3

• prov-gigapath/prov-gigapath

  Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

  Language:Python40654

• rulixiang/ToCo

  [CVPR 2023] Token Contrast for Weakly-Supervised Semantic Segmentation

  Language:Python15112

• BioMedIA-MBZUAI/Awesome-CL-in-Medical

  141

• chaisiyii/DPD-Net

  Dual-path Proposal Discriminative Network for abnormal cell detection in cervical liquid-based cytology images

  Language:Python31

• CVCUDA/CV-CUDA

  CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

  Language:C++2.4k217

• alexjfoote/reetoolbox

  Toolbox for measuring adversarial robustness to many transforms

  Language:Jupyter Notebook192

• junkunyuan/Awesome-Domain-Generalization

  Awesome things about domain generalization, including papers, code, etc.

  37040

• aetherAI/stain-mixup

  The repository provide augment function of "Stain mix-up: Unsupervised domain generalization for histopathology images"

  Language:Python121

• JunMa11/MICCAI-OpenSourcePapers

  MICCAI 2019-2023 Open Source Papers

  1.2k238

• hw-liang/DSCSI-GAN

  Implementation of Paper 'Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning on histopathology images'. And this repo also contains the reimplementation of paper 'Neural Stain-Style Transfer Learning using GAN for Histopathological Images'.

  Language:Python155

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.4k3.8k

• khtao/StainNet

  StainNet: a fast and robust stain normalization network

  Language:Jupyter Notebook4710

• Peter554/StainTools

  Tools for tissue image stain normalisation and augmentation in Python 3

  Language:Python319107

• CVIU-CSU/CR4CACD

  Language:Python123

• NVlabs/SPADE

  Semantic Image Synthesis with SPADE

  Language:Python7.6k984

• fuscc-deep-path/sc_MTOP

  sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosystem diversity at the single-cell level. This code provide 1) Hover-Net-based nuclear segmentation and classification; 2) Nuclear morphological and texture feature extraction; 3) Multi-level pairwise nuclear graph construction and spatial topological feature extraction.

  Language:Python266

• yformer/EfficientSAM

  EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

  Language:Jupyter Notebook2.1k151

• TopoXLab/Dataset-BRCA-M2C

  Language:Python6

• LL3RD/ACFormer

  Code for Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection (ICCV 2023)

  Language:Python386

• lichao-sun/SoraReview

  The official GitHub page for the review paper "Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models".

  49220

• lhaof/CGT

  Cell Graph Transformer for Nuclei Classification, AAAI 2024

  Language:Python131

• lhaof/UniCell

  UniCell: Universal Cell Nucleus Classification via Prompt Learning, AAAI 2024

  Language:Jupyter Notebook41

• ZhenrongShen/CellGAN

  [MICCAI 2023] Official Pytorch Implementation for "CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification"

  Language:Python275