Deep Learning-Based Computer-Aided Diagnosis System for Gastroscopy Image Classification Using Synthetic Data

Deep Learning-Based Computer-Aided Diagnosis System for Gastroscopy Image Classification Using Synthetic Data

Gastric cancer has a high mortality rate worldwide, but it can be prevented with early detection through regular gastroscopy. Herein, we propose a deep learning-based computer-aided diagnosis (CADx) system applying data augmentation to help doctors classify gastroscopy images as normal or abnormal....

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Bibliographic Details
Main Authors: Yun-ji Kim, Hyun Chin Cho, Hyun-chong Cho
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
computer-aided diagnosis (CADx)
data augmentation
generative adversarial network (GAN)
deep learning
gastroscopy image
Online Access:https://www.mdpi.com/2076-3417/11/2/760

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https://www.mdpi.com/2076-3417/11/2/760

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