Gemini-Assisted Deep Learning Classification Model for Automated Diagnosis of High-Resolution Esophageal Manometry Images

Gemini-Assisted Deep Learning Classification Model for Automated Diagnosis of High-Resolution Esophageal Manometry Images

<i>Background/Objectives:</i> To develop a deep learning model for esophageal motility disorder diagnosis using high-resolution manometry images with the aid of Gemini. <i>Methods:</i> Gemini assisted in developing this model by aiding in code writing, preprocessing, model op...

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Bibliographic Details
Main Authors: Stefan Lucian Popa, Teodora Surdea-Blaga, Dan Lucian Dumitrascu, Andrei Vasile Pop, Abdulrahman Ismaiel, Liliana David, Vlad Dumitru Brata, Daria Claudia Turtoi, Giuseppe Chiarioni, Edoardo Vincenzo Savarino, Imre Zsigmond, Zoltan Czako, Daniel Corneliu Leucuta
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Medicina
Subjects:
Gemini
deep learning
esophageal motility disorder diagnosis
image classification
artificial intelligence
HREM
Online Access:https://www.mdpi.com/1648-9144/60/9/1493
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