Applied Computer Vision and Pattern Recognition: 3rd Edition

Dear Colleagues,

Deep learning (DL) and machine learning (ML) techniques have facilitated significant advancements in medicine and biology, and are being applied across a variety of domains to improve diagnosis, treatment, and our understanding of diseases. Some key applications include medical imaging and analysis, drug discovery and development, disease diagnosis and risk prediction, natural language processing in medicine, robotics and surgery, biomedical signal processing, clinical decision support systems, and immunology and infectious diseases. As these technologies continue to evolve, they promise to revolutionize healthcare, offering more efficient, accurate, and personalized approaches to patient care, disease management, and scientific discovery. Thus, research in these fields is valuable, and they continuously promise fresh topics for researchers to explore.

We are pleased to invite submissions exploring recent research in the field of deep learning and machine learning applications in medicine and biology to this Special Issue, which seeks to publish the latest cutting-edge research, case studies, and reviews in medical and biological contexts. We are particularly interested in papers that explore novel methodologies and applications, the integration of AI in clinical workflows, and the clinical impact of ML/DL-based systems.

Prof. Dr. Antonio Fernández-Caballero
Prof. Dr. Byung-Gyu Kim
Topic Editors