We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...
Abstract: The project aims to develop a machine learning system using the YOLO-NAS algorithm to identify and classify skin diseases. The system is trained on a skin disease dataset featuring ...
Learn step-by-step how to plan and execute deep learning projects tailored for business success. Boost your company’s AI capabilities with proven strategies! #DeepLearning #AIforBusiness ...
Introduction: Early skin disease diagnosis is essential and one of the challenging tasks for a dermatologist. Manual diagnosis by healthcare providers is subjective, costly, and may yield inconsistent ...
ABSTRACT: Timely and accurate detection of plant diseases is essential for improving crop yields and ensuring food security, particularly in regions like Cameroon, where farmers often rely on visual ...
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 ...
Dogs trained to detect Parkinson’s disease using scent have shown remarkable accuracy in new research. In a double-blind trial, they identified skin swabs from people with Parkinson’s with up to 80% ...
Abstract: The potential of deep learning is unlocked by the Capsule Network (CapsNet), considered a novel architectural advancement that is designed to preserve spatial hierarchies which addresses a ...
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