Impact of Class Labeling on Myocardium Segmentation using Cascaded Deep Learning for Improved Myocardial Infarction Segmentation

Impact of Class Labeling on Myocardium Segmentation using Cascaded Deep Learning for Improved Myocardial Infarction Segmentation

Myocardial infarction is a leading cause of death and illness globally which necessitates early detection and characterization of the infarcted tissue for treatment planning and prognosis. Accurate and fast segmentation of this tissue is crucial for quantifying disease severity. CNNs have shown prom...

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Bibliographic Details
Published in:14th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2024 - Proceedings
Main Author: Damit D.S.A.; Hilmi A.N.; Sulaiman S.N.; Osman M.K.; Karim N.K.A.; Leh N.A.M.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207099257&doi=10.1109%2fICCSCE61582.2024.10696767&partnerID=40&md5=bf88292c1706db8633ebf69212d93f0b

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207099257&doi=10.1109%2fICCSCE61582.2024.10696767&partnerID=40&md5=bf88292c1706db8633ebf69212d93f0b

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