A Python package for geometric transformations of images for data augmentation in deep learning

[NeurIPS 2024] Upping the Game: How 2D U-Net Skip Connection Flipping 3D Segmentation

A project for lung disease detection and analysis using deep learning. It includes lung segmentation, disease classification, and severity localization with Grad-CAM for visual explanations. This repository provides code, datasets, and documentation for replication and further research.

Code for the paper "Reinforced Active Learning for Image Segmentation", adapted to the medical domain for 3D anatomical and pathological segmentation.

This project is made from collecting knee digital xrays dateset to classify the state of the knee whether its normal state knee , doubtful state knee , mild state knee ,moderate state knee and severe state knee . -The initialization of the project starts by downloading the dataset digital knee xrays from mendeley which is available throughout th…

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This work detects Malaria parasite in patients with the aim to assist physicians with speedy diagnosis.