computational-pathology-pipeline
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Updated
Mar 15, 2024 - Python
computational-pathology-pipeline
A demonstration script for analyzing cell density in whole slide images (WSIs). This repository accompanies the article published on daangeijs.nl. The demo showcases how to compute cell density in detected tumor regions using WholeSlideData and GeoPandas.
Official Pytorch Implementation of our new paper 'Predicting Lymph Node Metastasis from Primary Cervical Cancer Based on Deep Learning in Histopathological Images.'
Personal blog on computational biology and pathology
Repository for "Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification""
Reinforcement learning reading list (including medical image analysis papers )
[ISBI 2024] Accurate Subtyping of Lung Cancers by Modelling Class Dependencies
Towards a text-based quantitative and explainable histopathology image analysis (MICCAI 2024)
Reading list for Computational Pathology
Classification of lung tumor slide images with the NCI Imaging Data Commons
Deep generative models for collagen fiber centerline segmentation and extraction in cancer tissue
GPC: Generative and general pathology image classifier (MICCAI-Workshop 2023)
Classification of whole-slide images based on tumor infiltrating lymphocyte grades using image-level labels
CompSegNet: An enhanced U-shaped architecture for nuclei segmentation in H&E histopathology images
[MICCAI'23] HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis
Awesome List of Digital and Computational Pathology Resources
Lung Preneoplasia Progression via Pathomics
Welcome to IDSO-FA1-Pathology World!
[AAAI'23] MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis
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