medtao

medtao's Stars

• ilastik/ilastik

  ilastik-shell, applets, and workflows to string them together.

  Language:Python347130

• jacobgil/vit-explain

  Explainability for Vision Transformers

  Language:Python81996

• KatherLab/marugoto

  Tools to build deep learning pipelines.

  Language:Python7927

• peng-lab/HistoBistro

  Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)

  Language:Jupyter Notebook6412

• NHPatterson/wsireg

  multimodal whole slide image registration in a graph structure

  Language:Python777

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.6k3k

• smujiang/Re-stained_WSIs_Registration

  Re-stained whole slide image alignment

  Language:Python309

• simongraham/hovernet_inference

  HoVer-Net inference code for simultaneous nuclear segmentation and classification

  Language:Jupyter Notebook6320

• TissueImageAnalytics/tiatoolbox

  Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

  Language:Python36872

• wenqi006/SlideGraph

  Language:Python4910

• szc19990412/TransMIL

  TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

  Language:Python33672

• BMIRDS/deepslide

  Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

  Language:Python484137

• numba/nvidia-cuda-tutorial

  Nvidia contributed CUDA tutorial for Numba

  Language:Jupyter Notebook23538

• Caoliangjie/pytorch-gradcam-resnet50

  CAM图的resnet50版本

  Language:Python14742

• AMLab-Amsterdam/AttentionDeepMIL

  Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

  Language:Python817189

• Kepler1647b/EBVnet

  Language:Jupyter Notebook83

• miccaiif/WENO

  Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification

  Language:Python5511

• durandtibo/wildcat.pytorch

  PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

  Language:Python26661

• zhaoxuanma/Deeplearning-digital-pathology

  Full package for applying deep learning to virtual slides.

  Language:Python6730

• qupath/qupath

  QuPath - Bioimage analysis & digital pathology

  Language:Java1k276

• AIM-Harvard/pyradiomics

  Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

  Language:Jupyter Notebook1.1k493