Harnessing TernausNet For The Segmentation Of Heart From Chest X-ray For The Recognition Of Atrial Septal Defect-Reference-Cited by-同舟云学术

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Harnessing TernausNet For The Segmentation Of Heart From Chest X-ray For The Recognition Of Atrial Septal Defect

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

V P Hima Vijayan¹,Abdul Rahiman M²,Abraham Lizy¹

Affiliation:

1. APJ Abdul Kalam Technological University,LBS Institute of Technology for Women,Department of Electronics & Communication Engineering,Thiruvananthapuram,Kerala,India

2. APJ Abdul Kalam Technological University,LBS Institute of Technology for Women,Department of Computer Science & Engineering,Thiruvananthapuram,Kerala,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10307430.pdf?arnumber=10307430

Reference35 articles.

1. Image Segmentation Metrics in Skin Lesion: Accuracy, Sensitivity, Specificity, Dice Coefficient, Jaccard Index, and Matthews Correlation Coefficient

2. Variability and reproducibility in deep learning for medical image segmentation;renard;Scientific Reports,2020

3. Binary cross entropy with deep learning technique for image classification;ruby;Int J Adv Trends Comput Sci Eng,2020

4. CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning

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