Development of convolutional neural network models that recognize normal anatomic structures during real-time radial-array and linear-array EUS (with videos)-Reference-Cited by-同舟云学术

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Development of convolutional neural network models that recognize normal anatomic structures during real-time radial-array and linear-array EUS (with videos)

Published:2024-02 Issue:2 Volume:99 Page:271-279.e2
ISSN:0016-5107
Container-title:Gastrointestinal Endoscopy
language:en
Short-container-title:Gastrointestinal Endoscopy

Author:

Robles-Medranda Carlos,Baquerizo-Burgos Jorge,Puga-Tejada Miguel,Del Valle Raquel,Mendez Juan C.,Egas-Izquierdo Maria,Arevalo-Mora Martha,Cunto Domenica,Alcívar-Vasquez Juan,Pitanga-Lukashok Hannah,Tabacelia Daniela

Funder

European Society of Gastrointestinal Endoscopy

Publisher

Elsevier BV

Subject

Gastroenterology,Radiology, Nuclear Medicine and imaging

Reference20 articles.

1. Exploration of an effective training system for the diagnosis of pancreatobiliary diseases with EUS: a prospective study;Han;Endosc Ultrasound,2020

2. Challenges in diagnosis of pancreatic cancer;Zhang;World J Gastroenterol,2018

3. Training in endoscopy: endoscopic ultrasound;Cho;Clin Endosc,2017

4. Training in endoscopic ultrasonography: an Asian perspective;Wong;Dig Endosc,2017

5. When trainees reach competency in performing endoscopic ultrasound: a systematic review;Shahidi;Endosc Int Open,2017

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