Segmentation of contrast-enhanced abdominal CT images is required by many clinical
applications of computer aided diagnosis and therapy planning. The research on automated …

Segmenting low-contrast cancerous regions from Computed Tomography (CT) images is an
important task. Region and edge-based active contours fail to perform with such images …

BACKGROUND: Multi-phase CT images are obtained sequentially after the injection of
contrast agents so that there is a large amount of local deformation between images due to …

Medical imaging and computer aided diagnosis traditionally focus on organ or disease
based applications. CAD is used by radiologists as a second opinion in detecting tumors …

In case of the complicated anatomical structure of the liver, landmark points on a three
dimensional (3D) liver surface is hardly distinguished as corresponding pairs visually and …

The incidence of liver diseases is very high in Asian countries. This paper introduces our
computer-aided diagnosis (CAD) system for diagnosing liver cancer and describes the …

To detect the metastatic liver tumor on CT scans, two liver edge maps on unenhanced and
portal venous phase images are firstly extracted and registered using phase-only correlation …

Multi-phase computed tomography images are widely applied to doctors' routine
interpretation of organic lesions or before human abdominal surgery. However, because of …

Precise segmentation of abdomen diseases like tumor, cyst and stone are crucial in the
design of a computer aided diagnostic system. The complexity of shapes and similarity of …

Automating the detection of lesions in liver CT scans requires a high performance and
robust solution. With CT-scan start to become the norm in emergency department, the need …