#计算机科学#Open source tools for computational pathology - Nature BME
#计算机科学#Cancer metastasis detection with neural conditional random field (NCRF)
#计算机科学#Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
#计算机科学#DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
#计算机科学#Powerful, open-source AI tools for digital pathology.
#数据仓库#Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
#计算机科学#A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
#计算机科学#Solid Tumor Associative Modeling in Pathology
#计算机科学#🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images
This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.
#计算机科学#Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
🔬 Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
#计算机科学#Digital Pathology Whole Slide Image Analysis Toolbox
#计算机科学#[ECCV 2024] Official Implementation of 《WSI-VQA: Interpreting Whole Slide Image by Generative Question Answering》
Whole Slide Digital Pathology Image Tissue Localization