Deep learning has shown remarkable capabilities in medical image analysis and computer-aided diagnosis, but standard image classification techniques have limitations for slowly progressive eye…
Browsing: Computer-Aided Diagnosis
This article discusses the impact of information-driven methodologies on medical diagnostics and decision-making, specifically the integration of computer-aided diagnosis and decision support systems. It…
This article discusses the potential of machine learning algorithms to accurately classify diabetic retinopathy using OCTA parameters and clinical data. The study found that…
Aysen Degerli Ahishali’s doctoral dissertation explores the use of Artificial Intelligence (AI) algorithms to enhance computer-aided diagnosis in healthcare, specifically for the early detection…
This article discusses the use of computer-aided diagnostic systems, specifically the proposed “Color-CADx,” for the recognition of colorectal cancer (CRC). The system utilizes deep…
This article discusses the importance of early detection and diagnosis in improving the survival rate for cancer patients. It highlights the limitations of human…
This article discusses the importance of early detection and diagnosis of cancer, which is the second most common cause of death in many countries.…
This Special Issue is dedicated to high-quality, original research papers related to various deep learning techniques and computer-aided diagnosis for biomedical systems. It covers…
This Special Issue aims to present the latest research developments in machine learning applied to biomedical image analysis. The topics of interest include but…
Cataracts are the leading cause of blindness worldwide, and are caused by a variety of factors, including genetics and aging. Ophthalmologists have traditionally used…