On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness
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Updated
May 26, 2024 - Jupyter Notebook
On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness
QuPath - Bioimage analysis & digital pathology
Tools for computational pathology
Library for Digital Pathology Image Processing
Machine learning tool for analysis of lung adenocarcinoma tumors
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
Digital pathology image viewer with support for human/machine generated annotations and markups.
cuCIM - RAPIDS GPU-accelerated image processing library
Interoperable web-based slide microscopy viewer and annotation tool
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for deep learning purposes.
A framework for high-performance medical image processing, neural network inference and visualization
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
Demographic bias in misdiagnosis by computational pathology models - Nature Medicine
A simple python program to organize a digital slide collection as an SQLite database
DeeperHistReg - Source Code
Awesome List of Digital and Computational Pathology Resources
MarrowQuant is a user-friendly algorithm for the quantification of H&E bone marrow tissue biopsies in whole slide images, implemented as a series of QuPath Scripts. Keywords: Digital Pathology, Whole slide Imaging, QuPath, Bone Marrow, Adiposity
The official repo of PuzzleTuning: Explicitly Bridge Pathological and Natural Image with Puzzles (arXiv: 2311.06712)
WSI classification
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