Patho-GAN: interpretation + medical data augmentation. Code for paper work "Explainable Diabetic Retinopathy Detection and Retinal Image Generation"

Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".

This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MIC-DKFZ/medicaldetectiontoolkit with regression capabilites.

DeepLesion

LesNet (Lesion Net) is an open-source project for AI-based skin lesion detection. It aims to create a reliable tool and foster community involvement in critical AI problems. Contributions are welcome!

TensorFlow implementation of our paper: "Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging [Medical Physics 2021]".

Elsevier-CIBM-2024: Synergistic fusion of image-level and fine-grained disease attention for multi-label lesion detection in chest X-rays

SEU Bachelor Thesis Project of a auto-diagnosis system for fundus diseases based on deep learning

Brain Tumour Segmentation with TrUE-Net tool - top 10 DL model in MICCAI BraTS 2020

Repository for our deep multitask paper in DOT imaging.

Detection of cerebral microbleeds using deep learning method consisting of 2 steps: initial candidate detection and candidate discrimination using a student-teacher network.