Abstract: This paper aims to exploit deep learning techniques to make skin diagnostic processes more efficient, delivering higher accuracy and consistent predictions to assist dermatologists in making ...
A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...
We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...
Launched in 2019, the Syn-One Test is used by neurologists and other clinicians in all 50 states to aid in the diagnosis of synucleinopathies SCOTTSDALE, Ariz., Nov. 6, 2025 /PRNewswire/ -- CND Life ...
Abstract: The project aims to develop a machine learning system using the YOLO-NAS algorithm to identify and classify skin diseases. The system is trained on a skin disease dataset featuring ...
Introduction: Early skin disease diagnosis is essential and one of the challenging tasks for a dermatologist. Manual diagnosis by healthcare providers is subjective, costly, and may yield inconsistent ...
(Reuters) -Human skin cells may one day be used to create functional human eggs in a step toward helping women have their own genetic children when their natural eggs are dysfunctional, according to ...
1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...
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