The saliva circulating in your mouth contains troves of microbial information about the rest of your body and is easier to collect than blood samples. Today, a few drops of spit can help detect ...

A full-stack medical analysis application that detects 23 different types of skin diseases using Deep Learning. This project consists of a React.js Frontend for the user interface and a Python Flask ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

This project aims to identify skin disorders and solve important diagnosis-related issues resulting from their varied appearances and slight variations usually resembling one another. Traditional ...

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 ...

Abstract: This project aims to identify skin disorders and solve important diagnosis-related issues resulting from their varied appearances and slight variations usually resembling one another.

Every second week of November, the Philippines holds its National Skin Diseases Detection and Prevention Week. This was a law established by Proclamation No. 110 by then President Gloria ...