This is a Diabetic Retinopathy Detector, which uses a DL-based classifier designed to detect and classify diabetic retinopathy (DR) from retinal fundus images. Built on the ResNet50 architecture and ...

In addition, we prove the Constant False-Alarm Rate property of the proposed detection architecture. The illustrative examples conducted on synthetic data corroborate the enhanced detection ...

Official Pytorch implementation of MICCAI 2024 paper (early accept, top 11%) Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography ...

This article showcases the use of a reinforcement learning-based neural architecture search (NAS) agent to design a small neural network to perform active fire detection on multispectral satellite ...