Intelligent diagnosis processes rely on Artificial Intelligence (AI) techniques to provide
possible diagnoses by analyzing patient data and medical information. To make accurate …

Cancer remains a leading reason of mortality, with the current global death toll estimated at
10 million and projected to surpass 16 million by 2040 as reported by the World Health …

Context Automated prostate cancer detection using machine learning technology has led to
speculation that pathologists will soon be replaced by algorithms. This review covers the …

Recent advancements in computer vision and augmented reality (AR) technology have
created a pathway for enhanced human–computer interaction. Despite the potential …

In the inspection task of industrial machine vision, insufficient data frequently occurs, and
data enhancement can artificially incorporate the prior knowledge of human vision, expand …

Gliomas are primary brain tumors caused by glial cells. These cancers' classification and
grading are crucial for prognosis and treatment planning. Deep learning (DL) can potentially …

You only look once (YOLO) is a state-of-the-art object detection model which has a novel
architecture that balances model complexity with the inference time. Among YOLO versions …

Automatic analysis of pathological images is important for the diagnosis and treatment of
diseases. The use of computerized systems in this field is becoming increasingly common …

Intracranial hematoma due to traumatic brain injury is a serious health concern with rates of
morbidity and mortality that are increasing worldwide. Manual identification is slow, subject …

Prostate cancer is the one of the most dominant cancer among males. It represents one of
the leading cancer death causes worldwide. Due to the current evolution of artificial …