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Found 5 papers, 1 papers with code
A Lightweight CNN Model for Detecting Respiratory Diseases from Lung Auscultation Sounds using EMD-CWT-based Hybrid Scalogram
Listening to lung sounds through auscultation is vital in examining the respiratory system for abnormalities.
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans
A multi-phase optimization strategy is introduced for solving the challenges of complicated diagnosis at a very early stage of infection, where an efficient lesion segmentation network is optimized initially which is later integrated into a joint optimization framework for the diagnosis and severity prediction tasks providing feature enhancement of the infected regions.
Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study
Clinical diagnosis of monkeypox in an early stage is challenging due to its similarity with chickenpox and measles.
Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation
We have performed in-depth analysis of different feature extraction techniques in order to find the most optimal one for OT classification and segmentation of lesions.
A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity
To address this challenge, we present the "Mpox Skin Lesion Dataset Version 2. 0 (MSLD v2. 0)" as a follow-up to the previously released openly accessible dataset, one of the first datasets containing mpox lesion images.
