Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

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.

Daniela Mullins first noticed the small mole on her face in 2015, but hadn't realized how much it had changed over the years Daniela Mullins Daniela Mullins went in for a full-body scan while she and ...

ABSTRACT: Breast cancer is the most common cancer among women worldwide, posing significant diagnostic challenges. Traditional diagnostic techniques, while foundational, often lack precision and fail ...

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 ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...