An attempt to build accurate models for detecting various brain diseases
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Updated
Jul 5, 2024 - Python
An attempt to build accurate models for detecting various brain diseases
scMalignantFinder is a Python package specially designed for analyzing cancer single-cell RNA-seq datasets to distinguish malignant cells from their normal counterparts.
[a.a. 22/23] G. Antonucci, N. Pagliara
Using Naive Bayes for tumor classification in medical images. Great for healthcare & data science. Python & scikit-learn powered
Python toolkit for parsing, processing, and analysis of Illumina methylation array IDAT files
Use deep learning to identify ocular tumor types
Classification of brain tumor in MR images using deep spatiospatial models.
Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]
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