Computer-aided diagnosis (CAD) has become one of the major research subjects in
medical imaging and diagnostic radiology. In this article, the motivation and philosophy for …

Breast cancer is the most common form of cancer among women worldwide. Early detection
of breast cancer can increase treatment options and patients' survivability. Mammography is …

Intracranial hemorrhage (ICH) requires prompt diagnosis to optimize patient outcomes. We
hypothesized that machine learning algorithms could automatically analyze computed …

Computer-aided diagnosis (CAD) has become one of the major research subjects in
medical imaging and diagnostic radiology. The basic concept of CAD is to provide a …

Computer-aided diagnosis (CAD) is rapidly entering the radiology mainstream. It has
already become a part of the routine clinical work for the detection of breast cancer with …

Automatic polyp segmentation from colonoscopy videos is a prerequisite for the
development of a computer-assisted colon cancer examination and diagnosis system …

We have developed a three-dimensional (3-D) computer-aided diagnosis scheme for
automated detection of colonic polyps in computed tomography (CT) colonographic data …

Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques
and their applications in medical diagnosis, education, and treatment. The book includes …

Computer‐aided detection and diagnosis (CAD) systems are increasingly being used as an
aid by clinicians for detection and interpretation of diseases. Computer‐aided detection …

We propose a novel convolutional neural network (ConvNet) equipped with two new
semantic calibration and refinement approaches for automatic polyp segmentation from …