Successful identification of nasopharyngeal carcinoma in nasopharyngeal biopsies using deep learning

WY Chuang, SH Chang, WH Yu, CK Yang, CJ Yeh… - Cancers, 2020 - mdpi.com
… NPC in nasopharyngeal biopsies using deep learning. A total of 726 nasopharyngeal biopsies
were … Our result shows for the first time that deep learning algorithms can identify NPC. …

[HTML][HTML] Computer-aided pathologic diagnosis of nasopharyngeal carcinoma based on deep learning

S Diao, J Hou, H Yu, X Zhao, Y Sun, RL Lambo… - The American journal of …, 2020 - Elsevier
… Overview of the deep learning method used in this study for diagnosis of nasopharyngeal
However, the definitive diagnosis must be made according to biopsy. As far as we know, …

Development and validation of an endoscopic images‐based deep learning model for detection with nasopharyngeal malignancies

C Li, B Jing, L Ke, B Li, W Xia, C He… - Cancer …, 2018 - Wiley Online Library
nasopharyngeal malignancies and provide biopsy guidance using a pre-trained deep learning
… To take advantage of deep learning methods and abundant nasopharyngeal endoscopic …

Deep learning for nasopharyngeal carcinoma identification using both white light and narrow‐band imaging endoscopy

J Xu, J Wang, X Bian, JQ Zhu, CW Tie, X Liu… - The …, 2022 - Wiley Online Library
… prior to examination and biopsy. Patients who complained of … Examination and biopsy of the
nasopharynx were performed … all patients underwent nasopharyngeal biopsy. Among them, …

A deep-learning-based prognostic nomogram integrating microscopic digital pathology and macroscopic magnetic resonance images in nasopharyngeal carcinoma …

F Zhang, LZ Zhong, X Zhao, D Dong… - Therapeutic …, 2020 - journals.sagepub.com
nasopharyngeal lesion biopsy. Then, we converted these into WSI at 40× objective
magnification (0.23 µm/pixel) by a digital slide scanner (Pannoramic 1000, Budapest, Hungary). All …

Deep learning for real-time detection of nasopharyngeal carcinoma during nasopharyngeal endoscopy

Z He, K Zhang, N Zhao, Y Wang, W Hou, Q Meng, C Li… - Iscience, 2023 - cell.com
biopsy site selection during endoscopy, we assembled a dataset comprising 2,429
nasopharyngeal … With these data, we developed a deep learning-based NPC detection model …

Convolutional neural network for discriminating nasopharyngeal carcinoma and benign hyperplasia on MRI

LM Wong, AD King, QYH Ai, WKJ Lam, DMC Poon… - European …, 2021 - Springer
nasopharynx in patients with benign hyperplasia. Third, it is inevitable that patients with NPC
undergoing radiomic or deep learning analysis will have a biopsy … a nasopharyngeal biopsy

Classification of Nasopharyngeal Cases using DenseNet Deep Learning Architecture

WSHMW Ahmad, MFA Fauzi, MK Abdullahi… - arXiv preprint arXiv …, 2024 - arxiv.org
… The novelty of this paper lies on the type of image data used with the deep learning classifier
(… of the different characteristics of nasopharynx biopsies, particularly cases in the prevalent …

MRI‐Based deeplearning model for distant metastasis‐free survival in locoregionally advanced nasopharyngeal carcinoma

L Zhang, X Wu, J Liu, B Zhang, X Mo… - Journal of Magnetic …, 2021 - Wiley Online Library
… with incident, primary, and biopsy-confirmed NPC from two … criteria: 1) previously untreated,
biopsy-proven NPC; 2) stage … a pretreatment and prebiopsy nasopharyngeal and neck MRI …

Immunohistochemical stain-aided annotation accelerates machine learning and deep learning model development in the pathologic diagnosis of nasopharyngeal …

TP Lin, CY Yang, KJ Liu, MY Huang, YL Chen - Diagnostics, 2023 - mdpi.com
… cancer originating in the nasopharynx epithelium [1], … the biopsy slides may occasionally
be missed. Hence, there is an urgent need for a second evaluation of these high-risk biopsies. …