Navigating Tversky Loss Function Hyperparameter Spaces using Particle Swarm Optimization for Myocardial Scar Segmentation

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Navigating Tversky Loss Function Hyperparameter Spaces using Particle Swarm Optimization for Myocardial Scar Segmentation

Medical image segmentation faces challenges due to class imbalance, where the foreground often occupies a much smaller volume compared to background tissues. This imbalance significantly impacts deep learning model performance, as different loss functions exhibit varying levels of robustness to such...

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Bibliographic Details
Published in:	2024 20th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2024 - Conference Proceedings
Main Author:	Damit D.S.A.; Sulaiman S.N.; Osman M.K.; Karim N.K.A.; Razali N.F.; Marzuki M.I.F.
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-s2.0-85193983562&doi=10.1109%2fCSPA60979.2024.10525595&partnerID=40&md5=7ee1d6ae745c55df3ffea7ebfa2fec60

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