Prostate segmentation is a challenging task, and the challenges significantly differ from one
imaging modality to another. Low contrast, speckle, micro-calcifications and imaging artifacts …

B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …

Targeted prostate biopsy, incorporating multi-parametric magnetic resonance imaging (mp-
MRI) and its registration with ultrasound, is currently the state-of-the-art in prostate cancer …

Analysis of cranial nerve systems, such as the anterior visual pathway (AVP), from MRI
sequences is challenging due to their thin long architecture, structural variations along the …

Objective To test whether single‐nucleotide polymorphisms (SNPs) of the FRZB gene are
associated with hip shape, and to determine whether FRZB variant alleles affect the …

Radiomics and radiogenomics are attractive research topics in prostate cancer. Radiomics
mainly focuses on extraction of quantitative information from medical imaging, whereas …

Prostate imaging analysis is difficult in diagnosis, therapy, and staging of prostate cancer. In
clinical practice, Magnetic Resonance Imaging (MRI) is increasingly used thanks to its …

Automatic and accurate lung field segmentation is an essential step for developing an
automated computer-aided diagnosis system for chest radiographs. Although active shape …

Purpose: In the segmentation of sequential treatment‐time CT prostate images acquired in
image‐guided radiotherapy, accurately capturing the intrapatient variation of the patient …

Prostate segmentation aids in prostate volume estimation, multi-modal image registration,
and to create patient specific anatomical models for surgical planning and image guided …