Computer Vision in Healthcare Applications
Junfeng Gao, Yong Yang, Pan Lin, Dong Sun Park · Journal of Healthcare Engineering · 2018
The research of computer vision, imaging processing and pattern recognition has made substantial progress during the past several decades.Also, medical imaging has attracted increasing attention in recent years due to its vital component in healthcare applications.Investigators have published a wealth of basic science and data documenting the progress and healthcare application on medical imaging.Since the development of these research fields has set the clinicians to advance from the bench to the bedside, the Journal of Healthcare Engineering set out to publish this special issue devoted to the topic of advanced computer vision methods for healthcare engineering, as well as review articles that will stimulate the continuing efforts to understand the problems usually encountered in this field.The result is a collection of fifteen outstanding articles submitted by investigators.Following the goal of special issue, we identify four major domains covered by the papers.The first is medical image analysis for healthcare, the second is the computer vision for predictive analytics and therapy, the third is fundamental algorithms for medical images, and the last one focuses on the machine learning algorithms for medical images.Here, we give the review of these published papers.