CT body composition analysis has been shown to play an important role in predicting health
and has the potential to improve patient outcomes if implemented clinically. Recent …

With the advent of fully automated image analysis and modern machine learning methods,
there is a need for very large image datasets having documented segmentations for both …

Background Contouring of breast gland in planning CT is important to postoperative
radiotherapy of patients after breast conserving surgery (BCS). However, the contouring task …

This paper brielyfly outlines the basic concepts of computer-aided detection/diagnosis
(CAD), including some fundamental techniques used in CAD system. Commercial CAD …

This paper describes a novel approach for the automatic assessment of breast density in
non-contrast three-dimensional computed tomography (3D CT) images. The proposed …

Brachytherapy is associated with highly heterogeneous spatial dose distributions. This
heterogeneity is usually ignored when estimating the biological effective dose (BED). In …

The segmentation of whole breast serves as the first step towards automated breast lesion
detection. It is also necessary for automatically assessing the breast density, which is …

This paper describes a brand new automatic segmentation method for quantifying volume
and density of mammary gland regions on non-contrast CT images. The proposed method …

PURPOSE: The purpose of this study is to propose a method for detection and construction
of chest wall for breast magnetic resonance images. METHODS: A volume of breast MR …

The design of pre-contoured fracture fixation implants (plates and nails) that correctly fit the
anatomy of a patient utilises 3D models of long bones with accurate geometric …