Nasopharyngeal carcinoma (NPC) is one of the most common malignant tumours of the
head and neck, and improving the efficiency of its diagnosis and treatment strategies is an …

Abstract Machine learning models have been increasingly considered to model head and
neck cancer outcomes for improved screening, diagnosis, treatment, and prognostication of …

A meeting of experts was held in November 2021 to review and discuss available data on
performance of Epstein-Barr virus (EBV)–based approaches to screen for early stage …

Nasopharyngeal carcinoma is a common head and neck malignancy with distinct clinical
management compared to other types of cancer. Precision risk stratification and tailored …

Due primarily to the excellent soft tissue contrast depictions provided by MRI, the
widespread application of head and neck MRI in clinical practice serves to assess various …

Artificial intelligence (AI) is an interdisciplinary field that encompasses a wide range of
computer science disciplines, including image recognition, machine learning, human …

In the field of medical image analysis, accurate lesion segmentation is beneficial for the
subsequent clinical diagnosis and treatment planning. Currently, various deep learning …

Introduction Nasopharyngeal carcinoma (NPC) is endemic to Eastern and South-Eastern
Asia, and, in 2020, 77% of global cases were diagnosed in these regions. Apart from its …

Nasopharyngeal carcinoma (NPC) is one of the most common head and neck cancers. Early
diagnosis plays a critical role in the treatment of NPC. To aid diagnosis, deep learning …

Accurate T-staging is important when planning personalized radiotherapy. However, T-
staging via manual slice-by-slice inspection is time-consuming while tumor sizes and …