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

This study introduces ARMNet, a sophisticated attention-based model designed to enhance the efficacy of early-stage brain tumor detection through advanced feature extraction methodologies.

An MRI tumor classification with AI chat bot

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