whole-slide-image

There are 50 repositories under whole-slide-image topic.

  • binli123/dsmil-wsi

    DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

    Language:Python35709387
  • ChongQingNoSubway/PDL

    Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "

    Language:Python11423129
  • DIAGNijmegen/pathology-whole-slide-data

    A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.

    Language:Python9263627
  • HKU-MedAI/WSI-HGNN

    [CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning

    Language:Python664137
  • miccaiif/WENO

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

    Language:Python563311
  • jgamper/compay-syntax

    :microscope: Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.

    Language:Python553111
  • dazhangyu123/ACMIL

    Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)

    Language:Python52298
  • huangzhii/nuclei.io

    nuclei.io: Human-in-the-loop active learning framework for pathology image analysis

    Language:Python39159
  • imi-bigpicture/wsidicom

    Python package for reading DICOM WSI file sets.

    Language:Python334405
  • miccaiif/DGMIL

    Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.

    Language:Python32393
  • liupei101/AdvMIL

    [MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images

    Language:Python302510
  • smujiang/Re-stained_WSIs_Registration

    Re-stained whole slide image alignment

    Language:Python30339
  • kat

    Zhengyushan/kat

    The code for Kernel attention transformer (KAT)

    Language:Python29256
  • HKU-MedAI/HIGT

    [MICCAI'23] HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis

    Language:Python27151
  • agentdr1/LA_MIL

    Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch

    Language:Python22230
  • gatsby2016/Fast-WSI-Prediction

    Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.

    Language:Python22101
  • uw-loci/demo_wsi_superres

    WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.

    Language:Python21515
  • AICAN-Research/H2G-Net

    🚀 H2G-Net: Segmentation of breast cancer region from whole slide images

    Language:TeX19515
  • Chrisa142857/You-Only-Look-Cytopathology-Once

    Codes available of a paper: An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features.

    Language:Python17206
  • imi-bigpicture/opentile

    Python library for reading tiles from wsi tiff-files.

    Language:Python156133
  • MUSTANG

    AmayaGS/MUSTANG

    Multi-stain graph self attention multiple instance learning for histopathology Whole Slide Images - BMVC 2023

    Language:Python13202
  • HKU-MedAI/ConSlide

    [ICCV'23] ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis

    Language:Python13432
  • daangeijs/simple_wsi_viewer

    A simple web application for for viewing and navigating pathology whole-slide-images in your browser.

    Language:JavaScript12111
  • titizheng/PAMIL

    Implementation of "Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification", (CVPR 2024 Highlight).

    Language:Python12220
  • okunator/cellseg_gsontools

    Feature extraction from GEOJson nuclei and tissue segmentation maps

    Language:Python11110
  • sauravmishra1710/Malaria-Detection-Using-Deep-Learning-Techniques

    Malaria Parasite Detection using Efficient Neural Ensembles. Malaria, a life threatening disease caused by the bite of the Anopheles mosquito infected with the parasite, has been a major burden towards healthcare for years leading to approximately 400,000 deaths globally every year. This study aims to build an efficient system by applying ensemble techniques based on deep learning to automate the detection of the parasite using whole slide images of thin blood smears.

    Language:Jupyter Notebook10107
  • HKU-MedAI/MulGT

    [AAAI'23] MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis

    Language:Python9200
  • nadiabrancati/ABNN-WSI-Classification

    Code to reproduce results of the Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks paper.

    Language:Python9321
  • uzunb/deep-zoom-image-viewer

    This is a viewer app that provides using to zoom and pan tools Deep Zoom Image (dzi) or Whole Slide Image (wsi) using Electron JS and OpenSeaDragon .

    Language:JavaScript9112
  • BiologyTools/BioGTK

    A cross platform version of Bio library & program. Bio is a library & program for annotating, & editing various microscopy imaging formats using Bioformats supported images. including whole slide, pyramidal & series.

    Language:C#8212
  • miccaiif/INS

    Official Pytorch Code of Our Paper: Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need

    Language:Python7200
  • nihaomiao/MLMI19_WSI-Net

    The implementation of our MLMI19 oral paper "WSI-Net: Branch-based and Hierarchy-aware Network for Segmentation and Classification of Breast Histopathological Whole-slide Images."

    Language:Python7110
  • Zhengyushan/dpathnet

    Code for the DRA-Net

    Language:Python7221
  • Zhengyushan/lagenet

    The code for LAGE-Net

    Language:Python7102
  • nihaomiao/PRICAI18_MVF-CasCNN

    The implementation of our pricai18 paper "Multiple Visual Fields Cascaded Convolutional Neural Network for Breast Cancer Detection."

    Language:Python6103
  • bydmitry/he-erbb2

    Scientific Reports volume 11, Article number: 4037 (2021)

    Language:Python5201