Diagnosis Support Model of Cardiomegaly Based on CNN Using ResNet and Explainable Feature Map-Reference-Cited by-同舟云学术

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Diagnosis Support Model of Cardiomegaly Based on CNN Using ResNet and Explainable Feature Map

Published:2021 Issue: Volume:9 Page:55802-55813
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yoo Hyun^ORCID,Han Soyoung^ORCID,Chung Kyungyong^ORCID

Funder

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09385136.pdf?arnumber=9385136

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cardiomegaly Prediction Using Computer Vision;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

2. Prediction of Cardiomegaly Disease Using Deep Learning;Lecture Notes in Networks and Systems;2024

3. Residual network-based aberration correction in a sensor-less adaptive optics system;Optics Communications;2023-10

4. Neural network application for assessing thyroid-associated orbitopathy activity using orbital computed tomography;Scientific Reports;2023-08-10

5. Deep learning‐based high‐dimensional multiple regression estimator for chest x‐ray image classification in rapid cardiomegaly screening;Translational Biophotonics;2023-08

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