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Program for the analysis and visualization of whole-slide images in digital pathology
Classification of Lung cancer slide images using deep-learning
[Scientific Data] CAMELYON BENCHMARK : better datasets for MIL methods
A library that integrates different MIL methods into a unified framework
Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Quesne J.*, Tsirigos A.*, and Yuan K.* Mapping the landscape o…
Documentation that simply works
A game theoretic approach to explain the output of any machine learning model.
An interactive machine learning framework for large histopathology images.
A Girder plugin for pathology image annotations and analysis.
A Python toolkit for pathology image analysis algorithms.
A tool for training machine-learning models with whole-slide imaging datasets
convert .kfb format whole slide images to .svs format image for further processing
nuclei.io: Human-in-the-loop active learning framework for pathology image analysis
Library for Digital Pathology Image Processing
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.
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides, BCNB Dataset
Use this to download all elements of the BCSS dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. …
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.
Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation