Multi-head Attention-based Deep Multiple Instance Learning
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Updated
Jan 27, 2026 - Python
Multi-head Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning for Whole-Slide Image Dataset
This repository contains several popular Attention-based Multiple Instance Learning (ABMIL) algorithms in PyTorch implementation.
A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology
An advanced deep learning model for binary classification of brain MRI scans to detect tumors (benign vs. malignant). The model utilizes a custom attention-enhanced ResNet50 architecture with state-of-the-art training techniques to achieve high accuracy and reliability in tumor detection.
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