Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
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Updated
Sep 9, 2024 - Python
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
Interactive modules to digitally annotate H&E whole slide images, construct cell and tissue level features and classify cell types. Specifically for a case study of differentiating borderline and high-grade serous ovarian tumors.
Non invasive live cell cycle monitoring using a supervised deep neural autoencoder onquantitative phase images
Cell image analysis pipeline for RPE cell identification, counting and maturity classification
Project for the Applied Machine Learning (EI70360) class at TUM Summer Semester 2023.
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