Skin cancer is among the most common cancers globally, which calls for timely and precise diagnosis for successful therapy. Conventional methods of diagnosis, including dermoscopy and histopathology, ...

1 School of Mathematics and Statistics, Fuyang Normal University, Fuyang, China 2 State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, Hainan, China The ...

A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, ...

aDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Special Administrative Region, China ...

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...

A University of Bristol study finds trained detection dogs can identify parkinson’s disease with up to 98% accuracy by smelling skin swabs, offering promise for early, non-invasive diagnosis A ...

Abstract: Skin disease make up the most common medical conditions worldwide, and in order to avoid consequences, they must be diagnosed accurately and promptly. To identify and categorize ten ...

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.