Statistical Analysis of Deep Learning Models for Diabetic Macular Edema Classification using OCT Images-Reference-Cited by-同舟云学术

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Statistical Analysis of Deep Learning Models for Diabetic Macular Edema Classification using OCT Images

Published:2022-10-14 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER)
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Author:

Pavithra Kc¹,Kumar Preetham¹,Geetha M²,Bhandary Sulatha³

Affiliation:

1. Manipal Institute of Technology,Manipal Academy of Higher Education,Department of Information and Communication Technology,Manipal,India

2. Manipal Institute of Technology,Manipal Academy of Higher Education,Department of Computer Science and Engineering,Manipal,India

3. Kasturba Medical College Manipal Manipal Academy of Higher Education,Department of Ophthalmology,Manipal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9973801/9974618/09974917.pdf?arnumber=9974917

Reference26 articles.

1. large dataset of labeled optical coherence tomography (oct) and chest x-ray images”, mendeley data;kermany d,2018

2. Deep Learning-Based Automated Classification of Multi-Categorical Abnormalities From Optical Coherence Tomography Images

3. Clinically applicable deep learning for diagnosis and referral in retinal disease

4. Fully automated detection of retinal disorders by image-based deep learning

5. Iterative fusion convolutional neural networks for classification of optical coherence tomography images

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