In recent years, the segmentation of anatomical or pathological structures using deep
learning has experienced a widespread interest in medical image analysis. Remarkably …

Abstract Treatment planning in radiotherapy distinguishes three target volume concepts: the
gross tumor volume (GTV), the clinical target volume (CTV), and the planning target volume …

Gross tumor volume (GTV) and clinical target volume (CTV) delineation are two critical steps
in the cancer radiotherapy planning. GTV defines the primary treatment area of the gross …

OAR segmentation is a critical step in radiotherapy of head and neck (H&N) cancer, where
inconsistencies across radiation oncologists and prohibitive labor costs motivate automated …

Purpose The delineation of the clinical target volume (CTV) is a crucial, laborious and
subjective step in cervical cancer radiotherapy. The aim of this study was to propose and …

Multi-modal medical image segmentation is a crucial task in oncology that enables the
precise localization and quantification of tumors. The aim of this work is to present a meta …

Gross tumor volume (GTV) segmentation is a critical step in esophageal cancer radiotherapy
treatment planning. Inconsistencies across oncologists and prohibitive labor costs motivate …

Within medical imaging, organ/pathology segmentation models trained on current publicly
available and fully-annotated datasets usually do not well-represent the heterogeneous …

Manual or automatic delineation of the esophageal tumor in CT images is known to be very
challenging. This is due to the low contrast between the tumor and adjacent tissues, the …

Determining the spread of lymph node gross tumor volume (GTV _ LN LN) is essential in
defining the respective resection or irradiating regions for the downstream workflows of …