Source code for paper: https://ieeexplore.ieee.org/abstract/document/9816283
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Updated
Jun 14, 2024 - Python
Source code for paper: https://ieeexplore.ieee.org/abstract/document/9816283
GPC: Generative and general pathology image classifier (MICCAI-Workshop 2023)
stain augmentation method based on stainmix up using multiple known stain matrices.
computational-pathology-pipeline
CompSegNet: An enhanced U-shaped architecture for nuclei segmentation in H&E histopathology images
Classification of whole-slide images based on tumor infiltrating lymphocyte grades using image-level labels
Lung Preneoplasia Progression via Pathomics
Source code for paper: https://arxiv.org/pdf/2305.17370.pdf
Python-based pipeline for tiles generation and pre-processing from digitized histopathological images.
This repository contains code for paper: "Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images."
Convert Slides/Images to Pyramidal TIFF Format
Probeable DARTS with Application to Computational Pathology [ICCV2021]
H&E ROI-Level and WSI-Level Nuclei Segmentation with HoVer-Net
Contains all research papers read since the end of July 2020 👍
[AAAI'23] MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis
Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset. medRxiv 2022.01.08.22268814.
Official Pytorch Implementation of our new paper 'Predicting Lymph Node Metastasis from Primary Cervical Cancer Based on Deep Learning in Histopathological Images.'
Rule-Based Thyroid Whole Slide Image Diagnosis
Suspicious Regions-Based Whole Slide Image Analysis
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