Real‐time pharyngeal cancer detection utilizing artificial intelligence: Journey from the proof of concept to the clinical use
Author:
Affiliation:
1. Endoscopy Division National Cancer Center Hospital Tokyo Japan
Publisher
Wiley
Subject
Gastroenterology,Radiology Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/den.13833
Reference10 articles.
1. The short-term and long-term outcomes of the endoscopic resection for the superficial pharyngeal squamous cell carcinoma
2. Early Detection of Superficial Squamous Cell Carcinoma in the Head and Neck Region and Esophagus by Narrow Band Imaging: A Multicenter Randomized Controlled Trial
3. Detecting oropharyngeal carcinoma using multispectral, narrow-band imaging and machine learning
4. Artificial intelligence‐based detection of pharyngeal cancer using convolutional neural networks
5. Diagnosis of pharyngeal cancer on endoscopic video images by Mask region‐based convolutional neural network
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3. Deep Learning for Automatic Segmentation of Oral and Oropharyngeal Cancer Using Narrow Band Imaging: Preliminary Experience in a Clinical Perspective;Frontiers in Oncology;2021-03-24
4. Videomics: bringing deep learning to diagnostic endoscopy;Current Opinion in Otolaryngology & Head & Neck Surgery;2021-02-11
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