Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
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.
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 ...
Background: The overall incidence of liver metastasis in colorectal cancer is as high as 50%, and surgery remains the only potentially curative approach for the metastatic disease. The recurrence rate ...
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