Abstract Multi-atlas segmentation (MAS), first introduced and popularized by the pioneering
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming …

Computer-aided liver diagnosis helps doctors accurately identify liver abnormalities and
reduce the risk of liver surgery. Early diagnosis and detection of liver lesions depend mainly …

The detection and delineation of the liver from abdominal 3D computed tomography (CT)
images are fundamental tasks in computer-assisted liver surgery planning. However …

Segmentation of a liver in computed tomography (CT) images is an important step toward
quantitative biomarkers for a computer‐aided decision support system and precise medical …

The liver segmentation in CT scan images is a significant step toward the development of a
quantitative biomarker for computer-aided diagnosis. In this paper, we propose an automatic …

Accurate segmentation of liver from abdominal CT scans is critical for computer‐assisted
diagnosis and therapy. Despite many years of research, automatic liver segmentation …

Gastric cancer is a common and deadly cancer in the world. The gold standard for the
detection of gastric cancer is the histological examination by pathologists, where Gastric …

Purpose: Efficient and accurate 3D liver segmentations from contrast‐enhanced computed
tomography (CT) images play an important role in therapeutic strategies for hepatic …

Purpose To propose a novel analysis technique for objective quantification of topographic
eyelid position with an algorithmatically calculated scheme and to determine its feasibility …

Liver segmentation from abdominal CT images is an essential step for liver cancer computer-
aided diagnosis and surgical planning. However, both the accuracy and robustness of …