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Peering into the Heart: A Comprehensive Exploration of Semantic Segmentation and Explainable AI on the MnMs-2 Cardiac MRI Dataset Cover

Peering into the Heart: A Comprehensive Exploration of Semantic Segmentation and Explainable AI on the MnMs-2 Cardiac MRI Dataset

Applied Computer Systems
Volume 30 (2025): Issue 1 (January 2025)
By: Mohamed Ayoob,  Oshan Nettasinghe,  Vithushan Sylvester,  Helmini Bowala and  Hamdaan Mohideen  
Open Access
|Jan 2025

Authors

Mohamed Ayoob

ayoob.m@iit.ac.lk

Informatics Institute of Technology, Colombo, Sri Lanka

Oshan Nettasinghe

oshan.20191052@iit.ac.lk

Informatics Institute of Technology, Colombo, Sri Lanka

Vithushan Sylvester

vithushan.2019830@iit.ac.lk

Informatics Institute of Technology, Colombo, Sri Lanka

Helmini Bowala

helmini.2019948@iit.ac.lk

Informatics Institute of Technology, Colombo, Sri Lanka

Hamdaan Mohideen

hamdaan.20200977@iit.ac.lk

Informatics Institute of Technology, Colombo, Sri Lanka
DOI: https://doi.org/10.2478/acss-2025-0002 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 12 - 20
Submitted on: Dec 9, 2024
|
Accepted on: Jan 7, 2025
|
Published on: Jan 21, 2025
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Cardiac magnetic resonance imaging (CMRI) semantic segmentation,
explainable AI (XAI),
residual blocks,
vision transformer (ViT)
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2025 Mohamed Ayoob, Oshan Nettasinghe, Vithushan Sylvester, Helmini Bowala, Hamdaan Mohideen, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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