Abstract Integrating Machine Learning (ML) in medicine has unlocked many opportunities to
harness complex medical data, enhancing patient outcomes and advancing the field …

Artificial intelligence (AI) has emerged as a major frontier in computer science research.
Although AI has broad application across many medical fields, it will have particular utility in …

In the printed circuit board (PCB) industry, cosmetic defect detection is an essential process
to ensure product quality. However, existing PCB cosmetic defect detection approaches …

Deep learning methods utilizing Convolutional Neural Networks (CNNs) have led to
dramatic advances in automated understanding of medical images. However, in many …

Artificial intelligence applications could significantly benefit clinical care by optimizing
disease detection and grading, broadening access to care, furthering scientific discovery …

Background Doctors can detect symptoms of diabetic retinopathy (DR) early by using retinal
ophthalmoscopy, and they can improve diagnostic efficiency with the assistance of deep …

Background: COVID-19 has overwhelmed health systems worldwide. It is important to
identify severe cases as early as possible, such that resources can be mobilized and …

Background: Left ventricle (LV) segmentation using a cardiac magnetic resonance imaging
(MRI) dataset is critical for evaluating global and regional cardiac functions and diagnosing …

Significance: Early detection of oral cancer is vital for high-risk patients, and machine
learning-based automatic classification is ideal for disease screening. However, current …