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:

, Oshan Nettasinghe

, Vithushan Sylvester

, Helmini Bowala

and Hamdaan Mohideen

Open Access

|Jan 2025

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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: 1 issue per year

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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