Natural phenomena and mechanisms have always intrigued humans, inspiring the design of
effective solutions for real-world problems. Indeed, fascinating processes occur in nature …

In radiation therapy, the accurate delineation of gross tumor volume (GTV) is crucial for
treatment planning. However, it is challenging for head and neck cancer (HNC) due to the …

Radiomics aims to support clinical decisions through its workflow, which is divided into:(i)
target identification and segmentation,(ii) feature extraction,(iii) feature selection, and (iv) …

Purpose. In this study, we proposed an automated deep learning (DL) method for head and
neck cancer (HNC) gross tumor volume (GTV) contouring on positron emission tomography …

Background and Purpose Machine learning (ML) is emerging as a feasible approach to
optimize patients' care path in Radiation Oncology. Applications include autosegmentation …

Purpose The availability of automated, accurate, and robust gross tumor volume (GTV)
segmentation algorithms is critical for the management of head and neck cancer (HNC) …

Target volume delineation is a vital but time-consuming and challenging part of
radiotherapy, where the goal is to deliver sufficient dose to the target while reducing risks of …

Accurate segmentation of nasopharyngeal carcinoma (NPC) lesion areas from dynamic
contrast-enhanced magnetic resonance imaging (DCE-MRI) facilitates subsequent …

In this study, we proposed an automated method based on convolutional neural network
(CNN) for nasopharyngeal carcinoma (NPC) segmentation on dual-sequence magnetic …

The thyroid is one of the largest endocrine glands in the human body, which is involved in
several body mechanisms like controlling protein synthesis and the body′ s sensitivity to …