Accurate segmentation of multiple organs of the head, neck, chest, and abdomen from
medical images is an essential step in computer-aided diagnosis, surgical navigation, and …

Given the high variability in the morphology and size of lesion areas in medical images,
accurate medical image segmentation requires both precise positioning of global contours …

Purpose The goal of this work is to explore the best optimizers for deep learning in the
context of medical image segmentation and to provide guidance on how to design …

Abstract Head and Neck (H &N) organ-at-risk (OAR) and tumor segmentations are an
essential component of radiation therapy planning. The varying anatomic locations and …

Current 3D semi-supervised segmentation methods face significant challenges such as
limited consideration of contextual information and the inability to generate reliable pseudo …

Head and neck cancer is a complex disease that requires precise treatment planning to
minimize the risk of radiation-induced toxicity to critical organs. By precisely defining the …

Head and Neck (H&N) organ-at-risk (OAR) and tumor segmentations are an essential
component of radiation therapy planning. The varying anatomic locations and dimensions of …