Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]
-
Updated
Sep 11, 2024 - Python
Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]
Classification of brain tumor in MR images using deep spatiospatial models.
Python toolkit for parsing, processing, and analysis of Illumina methylation array IDAT files
Use deep learning to identify ocular tumor types
scMalignantFinder is a Python package specially designed for analyzing cancer single-cell RNA-seq datasets to distinguish malignant cells from their normal counterparts.
Using Naive Bayes for tumor classification in medical images. Great for healthcare & data science. Python & scikit-learn powered
An attempt to build accurate models for detecting various brain diseases
[a.a. 22/23] G. Antonucci, N. Pagliara
Add a description, image, and links to the tumor-classification topic page so that developers can more easily learn about it.
To associate your repository with the tumor-classification topic, visit your repo's landing page and select "manage topics."