Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...
Abstract: The incidence of skin cancer, particularly melanoma, has been on the rise globally, presenting significant challenges in diagnosis and treatment due to limitations in traditional methods, ...
Deep learning based melanoma detection system using a custom CNN architecture. Includes model comparison, class imbalance handling, and a Gradio web interface for real-time skin lesion prediction.
When Heidi Tarr was a teenager, she used a tanning bed several times a week with her friends because they all wanted to glow like a celebrity. "It was just the thing to do—everyone wanted that nice, ...
Obstetrics & Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China Background: ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University. BayesCOOP is a scalable ...
Please provide your email address to receive an email when new articles are posted on . Patients are increasingly using AI to diagnose their dermatologic conditions and triage malignant lesions.
Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...
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