Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer
Abstract Machine learning models have been increasingly considered to model head and
neck cancer outcomes for improved screening, diagnosis, treatment, and prognostication of …
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 …
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
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 …
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 …
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
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 …
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 …
computer science disciplines, including image recognition, machine learning, human …
A deep weakly semi-supervised framework for endoscopic lesion segmentation
In the field of medical image analysis, accurate lesion segmentation is beneficial for the
subsequent clinical diagnosis and treatment planning. Currently, various deep learning …
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 …
Asia, and, in 2020, 77% of global cases were diagnosed in these regions. Apart from its …
Artificial Intelligence in Head and Neck Surgery
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 …
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 …
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 …
diagnosis plays a critical role in the treatment of NPC. To aid diagnosis, deep learning …