Deep learning applied to white light and narrow band imaging videolaryngoscopy: toward real‐time laryngeal cancer detection
Objectives To assess a new application of artificial intelligence for real‐time detection of
laryngeal squamous cell carcinoma (LSCC) in both white light (WL) and narrow‐band …
laryngeal squamous cell carcinoma (LSCC) in both white light (WL) and narrow‐band …
Computer-aided diagnosis and regional segmentation of nasopharyngeal carcinoma based on multi-modality medical images
Y Qi, J Li, H Chen, Y Guo, Y Yin, G Gong… - International Journal of …, 2021 - Springer
Purpose Nasopharyngeal carcinoma (NPC) is a category of tumors with high incidence in
head-and-neck (H&N) body region, and the diagnosis and treatment planning are usually …
head-and-neck (H&N) body region, and the diagnosis and treatment planning are usually …
[HTML][HTML] Deep learning for locally advanced nasopharyngeal carcinoma prognostication based on pre-and post-treatment MRI
S Li, YQ Deng, HL Hua, SL Li, XX Chen, BJ Xie… - Computer Methods and …, 2022 - Elsevier
Purpose We aimed to predict the prognosis of advanced nasopharyngeal carcinoma (stage
Ⅲ-Ⅳa) using Pre-and Post-treatment MR images based on deep learning (DL). Methods A …
Ⅲ-Ⅳa) using Pre-and Post-treatment MR images based on deep learning (DL). Methods A …
Using a deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video)
SL Cai, B Li, WM Tan, XJ Niu, HH Yu, LQ Yao… - Gastrointestinal …, 2019 - Elsevier
Background and Aims Few artificial intelligence-based technologies have been developed
to improve the efficiency of screening for esophageal squamous cell carcinoma (ESCC) …
to improve the efficiency of screening for esophageal squamous cell carcinoma (ESCC) …
An improved approach for initial stage detection of laryngeal cancer using effective hybrid features and ensemble learning method
Squamous cell carcinoma (SCC) is one of the most common as well as deadliest kinds of
laryngeal cancer. The precise and early identification of laryngeal cancer plays a pivotal role …
laryngeal cancer. The precise and early identification of laryngeal cancer plays a pivotal role …
Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs
B Jing, Y Deng, T Zhang, D Hou, B Li, M Qiang… - Computer methods and …, 2020 - Elsevier
Background Magnetic resonance images (MRI) is the main diagnostic tool for risk
stratification and treatment decision in nasopharyngeal carcinoma (NPC). However, the …
stratification and treatment decision in nasopharyngeal carcinoma (NPC). However, the …
A deep-learning-based prognostic nomogram integrating microscopic digital pathology and macroscopic magnetic resonance images in nasopharyngeal carcinoma …
Background: To explore the prognostic value of radiomics-based and digital pathology-
based imaging biomarkers from macroscopic magnetic resonance imaging (MRI) and …
based imaging biomarkers from macroscopic magnetic resonance imaging (MRI) and …
LPCANet: Classification of laryngeal cancer histopathological images using a CNN with position attention and channel attention mechanisms
Laryngeal cancer is one of the most common malignant tumors in otolaryngology, and
histopathological image analysis is the gold standard for the diagnosis of laryngeal cancer …
histopathological image analysis is the gold standard for the diagnosis of laryngeal cancer …
Automatic T staging using weakly supervised deep learning for nasopharyngeal carcinoma on MR images
Q Yang, Y Guo, X Ou, J Wang… - Journal of Magnetic …, 2020 - Wiley Online Library
Background Recent studies have shown that deep learning can help tumor staging
automatically. However, automatic nasopharyngeal carcinoma (NPC) staging is difficult due …
automatically. However, automatic nasopharyngeal carcinoma (NPC) staging is difficult due …
Vocal cord leukoplakia classification using deep learning models in white light and narrow band imaging endoscopy images
Background Accurate vocal cord leukoplakia classification is critical for the individualized
treatment and early detection of laryngeal cancer. Numerous deep learning techniques have …
treatment and early detection of laryngeal cancer. Numerous deep learning techniques have …