Echocardiographic Image Segmentation for Diagnosing Fetal Cardiac Rhabdomyoma During Pregnancy Using Deep Learning

Author:

Sengan Sudhakar1ORCID,Mehbodniya Abolfazl2ORCID,Bhatia Surbhi3ORCID,Saranya S. S.4,Alharbi Meshal5ORCID,Basheer Shakila6ORCID,Subramaniyaswamy V.7ORCID

Affiliation:

1. Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, India

2. Department of Electronics and Communications Engineering, Kuwait College of Science and Technology, Safat, Kuwait

3. Department of Information Systems, College of Computer Science and Information Technology, King Faisal University, Al Hofuf, Saudi Arabia

4. Department of Computer Science and Engineering, School of Computing, SRM Institute of Science and Technology, Kattankulathur Campus, Chennai, Tamil Nadu, India

5. Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

6. Department of Information Systems, College of Computer and Information Science, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

7. School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India

Funder

Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia, through the Researchers

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference96 articles.

1. Navier-stokes, fluid dynamics, and image and video inpainting

2. View classification and object detection in cardiac ultrasound to localize valves via deep learning;gungor;Mach Learn Res,2020

3. Deep Learning and Data Labeling for Medical Applications

4. Deep learning algorithm for fully-automated left ventricular ejection fraction measurement;poilvert;J Amer Soc Echocardiography,2018

5. Aggregated residual transformations for deep neural networks;xie;arXiv 1611 05431,2016

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