Prediction of Retina Damage in Optical Coherence Tomography Image Using Xception Architecture Model-Reference-Cited by-同舟云学术

Prediction of Retina Damage in Optical Coherence Tomography Image Using Xception Architecture Model

Published:2023-06-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)
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Author:

Do Minh Thanh¹^ORCID,Huynh Hoang Nhut²,Tran Trung Nghia²,Hoang Thuy Linh³^ORCID

Affiliation:

1. Ho Chi Minh City University of Technology (HCMUT), VNU-HCM,Faculty of Applied Science,Department of Biomedical Engineering Physics,Ho Chi Minh City,Vietnam

2. Ho Chi Minh City University of Technology (HCMUT), VNU-HCM,Laboratory of Laser Technology, Faculty of Applied Science,Ho Chi Minh City,Vietnam

3. Industrial University of Ho Chi Minh City,Ho Chi Minh City,Vietnam

Funder

VNU-HCM

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10218345/10218374/10218586.pdf?arnumber=10218586

Reference8 articles.

1. Classification of Retinal Diseases Using Transfer Learning Approach

2. Transfer Learning with U-Net type model for Automatic Segmentation of Three Retinal Layers In Optical Coherence Tomography Images

3. A Deep Learning Framework for Segmentation of Retinal Layers from OCT Images

4. Surrogate-Assisted Retinal OCT Image Classification Based on Convolutional Neural Networks

5. Automatic Classification of Retinal Optical Coherence Tomography Images With Layer Guided Convolutional Neural Network

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