Topic: whole-slide-image Goto Github
Some thing interesting about whole-slide-image
Some thing interesting about whole-slide-image
whole-slide-image,Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch
User: agentdr1
whole-slide-image,🫁 DRU-Net: Lung carcinoma Segmentation using multi-lens distortion and fusion refinement network
Organization: aican-research
whole-slide-image,🚀 H2G-Net: Segmentation of breast cancer region from whole slide images
Organization: aican-research
whole-slide-image,Multi-stain graph self attention multiple instance learning for histopathology Whole Slide Images - BMVC 2023
User: amayags
whole-slide-image,Performs instance segmentation and classification of nuclei in Multi-Tissue Histology WSIs(generally 100k*100k pixels).
User: atishaysjain
whole-slide-image,DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
User: binli123
whole-slide-image,A .NET library & program for annotating, & editing various microscopy imaging formats using Bioformats supported images. including whole slide, pyramidal & series.
User: biologytools
Home Page: https://github.com/BiologyTools/Bio
whole-slide-image,Bio Library in .NET8. Bio is a library & program for annotating, & editing various microscopy imaging formats using Bioformats supported images. including whole slide, pyramidal & series.
User: biologytools
whole-slide-image,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.
User: biologytools
Home Page: https://github.com/BiologyTools/BioGTK
whole-slide-image,Scientific Reports volume 11, Article number: 4037 (2021)
User: bydmitry
whole-slide-image,Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
User: chongqingnosubway
whole-slide-image,Codes available of a paper: An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features.
User: chrisa142857
whole-slide-image,A simple web application for for viewing and navigating pathology whole-slide-images in your browser.
User: daangeijs
whole-slide-image,Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
User: dazhangyu123
whole-slide-image,A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
Organization: diagnijmegen
Home Page: https://diagnijmegen.github.io/pathology-whole-slide-data/
whole-slide-image,An effective deep learning classification framework for whole slide images.
User: gatsby2016
whole-slide-image,Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.
User: gatsby2016
whole-slide-image,Histopathology Atlas contains whole slide images of various diseases
Organization: histopathologyatlas
Home Page: https://www.histopathologyatlas.com/
whole-slide-image,[ICCV'23] ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
Organization: hku-medai
whole-slide-image,[MICCAI'23] HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis
Organization: hku-medai
whole-slide-image,[AAAI'23] MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis
Organization: hku-medai
whole-slide-image,[CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
Organization: hku-medai
whole-slide-image,nuclei.io: Human-in-the-loop active learning framework for pathology image analysis
User: huangzhii
Home Page: https://huangzhii.github.io/nuclei-HAI/
whole-slide-image,Python library for reading tiles from wsi tiff-files.
Organization: imi-bigpicture
whole-slide-image,Python package for reading DICOM WSI file sets.
Organization: imi-bigpicture
whole-slide-image,:microscope: Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
User: jgamper
whole-slide-image,[MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
User: liupei101
whole-slide-image,Learning from Partial Label Proportions for Whole Slide Image Segmentation in MICCAI2024.
User: matsuo-shinnosuke
Home Page: https://arxiv.org/abs/2405.09041
whole-slide-image,Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.
User: miccaiif
whole-slide-image,Official Pytorch Code of Our Paper: Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
User: miccaiif
whole-slide-image,Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
User: miccaiif
whole-slide-image,Code to reproduce results of the Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks paper.
User: nadiabrancati
whole-slide-image,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."
User: nihaomiao
whole-slide-image,The implementation of our pricai18 paper "Multiple Visual Fields Cascaded Convolutional Neural Network for Breast Cancer Detection."
User: nihaomiao
whole-slide-image,Dissertation completed for the award of MSci in Computer Science. This dissertation is about automated breast cancer detection in low-resolution whole-slide pathology images using a deep convolutional neural network pipeline.
User: nmpoole
whole-slide-image,Feature extraction from GEOJson nuclei and tissue segmentation maps
User: okunator
Home Page: https://okunator.github.io/cellseg_gsontools/
whole-slide-image,Whole slide training with single GPU
User: pukei-pukei
whole-slide-image,Macenko normalisation of big medical slides
User: rhdm
whole-slide-image,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.
User: sauravmishra1710
Home Page: https://doi.org/10.35882/jeeemi.v3i3.2
whole-slide-image,Re-stained whole slide image alignment
User: smujiang
whole-slide-image,Repository for "Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification""
Organization: stonybrookdb
whole-slide-image,Implementation of "Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification", (CVPR 2024 Highlight).
User: titizheng
Home Page: https://vilab.hit.edu.cn/projects/pamil/
whole-slide-image,Code for paper "SMILE: Self-Motivated Multi-instance Learning for Whole Slide Image Classification" submission under review.
User: titizheng
whole-slide-image,Multi-head Attention-based Deep Multiple Instance Learning
Organization: tueimage
whole-slide-image,WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
Organization: uw-loci
whole-slide-image,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 .
User: uzunb
whole-slide-image,Code for the DRA-Net
User: zhengyushan
Home Page: http://zhengyushan.github.io
whole-slide-image,The code for Kernel attention transformer (KAT)
User: zhengyushan
whole-slide-image,The code for LAGE-Net
User: zhengyushan
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