whole-slide-image
There are 2 repositories under whole-slide-image topic.
binli123 / dsmil-wsi
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Language:Python 344ChongQingNoSubway / PDL
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
Language:Python 113DIAGNijmegen / 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:Python 89HKU-MedAI / WSI-HGNN
[CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
Language:Python 65jgamper / compay-syntax
:microscope: Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
Language:Python 55miccaiif / WENO
Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
Language:Python 55dazhangyu123 / ACMIL
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
Language:Python 50huangzhii / nuclei.io
nuclei.io: Human-in-the-loop active learning framework for pathology image analysis
Language:Python 32imi-bigpicture / wsidicom
Python package for reading DICOM WSI file sets.
Language:Python 32Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.
Language:Python 32liupei101 / AdvMIL
[MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
Language:Python 30smujiang / Re-stained_WSIs_Registration
Re-stained whole slide image alignment
Language:Python 30- kat
Zhengyushan / kat
The code for Kernel attention transformer (KAT)
Language:Python 26 [MICCAI'23] HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis
Language:Python 23agentdr1 / LA_MIL
Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch
Language:Python 22gatsby2016 / Fast-WSI-Prediction
Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.
Language:Python 22uw-loci / demo_wsi_superres
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
Language:Python 20AICAN-Research / H2G-Net
🚀 H2G-Net: Segmentation of breast cancer region from whole slide images
Language:TeX 19Chrisa142857 / 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:Python 16Python library for reading tiles from wsi tiff-files.
Language:Python 15- MUSTANG
AmayaGS / MUSTANG
Multi-stain graph self attention multiple instance learning for histopathology Whole Slide Images - BMVC 2023
Language:Python 13 [ICCV'23] ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
Language:Python 13daangeijs / simple_wsi_viewer
A simple web application for for viewing and navigating pathology whole-slide-images in your browser.
Language:JavaScript 12titizheng / PAMIL
Implementation of "Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification", (CVPR 2024 Highlight).
Language:Python 12okunator / cellseg_gsontools
Feature extraction from GEOJson nuclei and tissue segmentation maps
Language:Python 11sauravmishra1710 / 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 Notebook 10uzunb / 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:JavaScript 10nadiabrancati / ABNN-WSI-Classification
Code to reproduce results of the Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks paper.
Language:Python 9BiologyTools / 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# 8[AAAI'23] MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis
Language:Python 8Official Pytorch Code of Our Paper: Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
Language:Python 7nihaomiao / 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:Python 7Code for the DRA-Net
Language:Python 7The code for LAGE-Net
Language:Python 7The implementation of our pricai18 paper "Multiple Visual Fields Cascaded Convolutional Neural Network for Breast Cancer Detection."
Language:Python 6- Language:Python 5
