Radiation oncology for prostate cancer is important as it can decrease the morbidity and
mortality associated with this disease. Planning for this modality of treatment is both …

Multiparametric magnetic resonance imaging (mpMRI) has emerged as a first-line screening
and diagnostic tool for prostate cancer, aiding in treatment selection and noninvasive …

Accurate and reliable segmentation of the prostate gland using magnetic resonance (MR)
imaging has critical importance for the diagnosis and treatment of prostate diseases …

Liver lesion segmentation is a difficult yet critical task for medical image analysis. Recently,
deep learning based image segmentation methods have achieved promising performance …

Efficient and accurate segmentation of prostate gland facilitates the prediction of the
pathologic stage and treatment response. Recently, deep learning methods have been …

Abstract Background and Objective: Accurate and reliable segmentation of the prostate
gland in MR images can support the clinical assessment of prostate cancer, as well as the …

Although deep convolutional neural networks (DCNNs) have been proposed for prostate
MR image segmentation, the effectiveness of these methods is often limited by inadequate …

Abstract Background and Objective: Automatic and accurate segmentation of prostate and
peri-prostatic fat in male pelvic MRI images is a critical step in the diagnosis and prognosis …

Image segmentation plays an important role in the field of image processing, helping to
understand images and recognize objects. However, most existing methods are often …

Preoperative assessment of the proximity of critical structures to the tumors is crucial in
avoiding unnecessary damage during prostate cancer treatment. A patient-specific 3D …