Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer

J Adeoye, L Hui, YX Su - Journal of Big Data, 2023 - Springer
Abstract Machine learning models have been increasingly considered to model head and
neck cancer outcomes for improved screening, diagnosis, treatment, and prognostication of …

A comprehensive review on radiomics and deep learning for nasopharyngeal carcinoma imaging

S Li, YQ Deng, ZL Zhu, HL Hua, ZZ Tao - Diagnostics, 2021 - mdpi.com
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 …

Recommendations for Epstein-Barr virus–based screening for nasopharyngeal cancer in high-and intermediate-risk regions

WKJ Lam, AD King, JA Miller, Z Liu… - JNCI: Journal of the …, 2023 - academic.oup.com
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 …

Radiomics and deep learning in nasopharyngeal carcinoma: a review

Z Wang, M Fang, J Zhang, L Tang… - IEEE Reviews in …, 2023 - ieeexplore.ieee.org
Nasopharyngeal carcinoma is a common head and neck malignancy with distinct clinical
management compared to other types of cancer. Precision risk stratification and tailored …

Current state of artificial intelligence in clinical applications for head and neck MR imaging

N Fujima, K Kamagata, D Ueda, S Fujita… - … Resonance in Medical …, 2023 - jstage.jst.go.jp
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 …

Application of artificial intelligence to the diagnosis and therapy of nasopharyngeal carcinoma

X Yang, J Wu, X Chen - Journal of Clinical Medicine, 2023 - mdpi.com
Artificial intelligence (AI) is an interdisciplinary field that encompasses a wide range of
computer science disciplines, including image recognition, machine learning, human …

A deep weakly semi-supervised framework for endoscopic lesion segmentation

Y Shi, H Wang, H Ji, H Liu, Y Li, N He, D Wei… - Medical Image …, 2023 - Elsevier
In the field of medical image analysis, accurate lesion segmentation is beneficial for the
subsequent clinical diagnosis and treatment planning. Currently, various deep learning …

Application of artificial intelligence for nasopharyngeal carcinoma management–a systematic review

WT Ng, B But, HCW Choi, R de Bree… - Cancer management …, 2022 - Taylor & Francis
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 …

Artificial Intelligence in Head and Neck Surgery

J Oliver, R Alapati, J Lee, A Bur - Otolaryngologic Clinics of North …, 2024 - oto.theclinics.com
Artificial intelligence (AI) is a rapidly expanding field of computer and data science
encompassing a wide range of technologies that aim to emulate the decisionmaking …

Deep convolutional neural network for nasopharyngeal carcinoma discrimination on mri by comparison of hierarchical and simple layered convolutional neural …

L Ji, R Mao, J Wu, C Ge, F Xiao, X Xu, L Xie, X Gu - Diagnostics, 2022 - mdpi.com
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 …