Cheng-Wei Tie
Overview
Explore the profile of Cheng-Wei Tie including associated specialties, affiliations and a list of published articles.
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Articles
8
Citations
13
Followers
0
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Recent Articles
1.
Tie C, Li D, Zhu J, Wang M, Wang J, Chen B, et al.
Laryngoscope
. 2024 May;
134(10):4321-4328.
PMID: 38801129
Objectives: Vocal fold leukoplakia (VFL) is a precancerous lesion of laryngeal cancer, and its endoscopic diagnosis poses challenges. We aim to develop an artificial intelligence (AI) model using white light...
2.
Tie C, Zhu J, Yu Z, Dou L, Wang M, Wang G, et al.
Front Immunol
. 2024 May;
15:1310376.
PMID: 38720887
Introduction: Hypopharyngeal squamous cell carcinoma (HSCC) is one of the malignant tumors with the worst prognosis in head and neck cancers. The transformation from normal tissue through low-grade and high-grade...
3.
Wang M, Tie C, Wang J, Zhu J, Chen B, Li Y, et al.
Am J Otolaryngol
. 2024 May;
45(4):104342.
PMID: 38703609
Objective: To develop a multi-instance learning (MIL) based artificial intelligence (AI)-assisted diagnosis models by using laryngoscopic images to differentiate benign and malignant vocal fold leukoplakia (VFL). Methods: The AI system...
4.
Tie C, Dong X, Zhu J, Wang K, Liu X, Liu Y, et al.
Eur J Radiol Open
. 2024 Apr;
12:100563.
PMID: 38681663
Objectives: This study aims to assess the efficacy of narrow band imaging (NBI) endoscopy in utilizing radiomics for predicting radiosensitivity in nasopharyngeal carcinoma (NPC), and to explore the associated molecular...
5.
Ni X, Zhu J, Tie C, Wang M, Zhang W, Wang G
J Laryngol Otol
. 2023 Nov;
138(3):331-337.
PMID: 37994484
Objective: To propose a scoring system based on laryngoscopic characteristics for the differential diagnosis of benign and malignant vocal fold leukoplakia. Methods: Laryngoscopic images from 200 vocal fold leukoplakia cases...
6.
The Detection of Nasopharyngeal Carcinomas Using a Neural Network Based on Nasopharyngoscopic Images
Wang S, Li Y, Zhu J, Wang M, Zhang W, Tie C, et al.
Laryngoscope
. 2023 May;
134(1):127-135.
PMID: 37254946
Objective: To construct and validate a deep convolutional neural network (DCNN)-based artificial intelligence (AI) system for the detection of nasopharyngeal carcinoma (NPC) using archived nasopharyngoscopic images. Methods: We retrospectively collected...
7.
Zhu J, Wang M, Li Y, Zhang W, Li L, Liu L, et al.
Am J Otolaryngol
. 2022 Dec;
44(2):103695.
PMID: 36473265
Objectives: Video laryngoscopy is an important diagnostic tool for head and neck cancers. The artificial intelligence (AI) system has been shown to monitor blind spots during esophagogastroduodenoscopy. This study aimed...
8.
Xu J, Wang J, Bian X, Zhu J, Tie C, Liu X, et al.
Laryngoscope
. 2021 Oct;
132(5):999-1007.
PMID: 34622964
Objectives/hypothesis: To develop a deep-learning-based automatic diagnosis system for identifying nasopharyngeal carcinoma (NPC) from noncancer (inflammation and hyperplasia), using both white light imaging (WLI) and narrow-band imaging (NBI) nasopharyngoscopy images....