Corrections to &#x201C;Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach&#x201D;

Meera Radhakrishnan; Niranjana Sampathila; H. Muralikrishna; K. S. Swathi

doi:10.1109/ACCESS.2024.3501812

IEEE Access (Jan 2024)

Corrections to “Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach”

Meera Radhakrishnan,
Niranjana Sampathila,
H. Muralikrishna,
K. S. Swathi

Affiliations

Meera Radhakrishnan: ORCiD; Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India
Niranjana Sampathila: ORCiD; Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India
H. Muralikrishna: ORCiD; Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India
K. S. Swathi: ORCiD; Department of Social and Health Innovation, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India

DOI: https://doi.org/10.1109/ACCESS.2024.3501812
Journal volume & issue: Vol. 12
pp. 174881 – 174887

Abstract

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Presents corrections to the paper, (Corrections to “Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach”).

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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