IEEE

Multi-Class Skin Disease Detection Using Deep Learning Hybrid Method

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 ...

Deep learning model can predict cardiopulmonary disease in retinal images of premature infants

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

Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...
Frontiers

Deep Learning for Medical Imaging Applications

Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
The Lancet

Machine learning to classify the focus score and Sjögren's disease using digitalised salivary gland biopsies: a retrospective cohort study

bCentre for Translational Bioinformatics, William Harvey Research Institute, London, UK cExperimental Medicine and Rheumatology, William Harvey Research Institute, London, UK dSchool of Infection, ...