MaxGRNet: A multi-axis vision transformer with improved generalization for eye disease classification using explainable AI with insertion-deletion operations on fundus images.
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| Title: | MaxGRNet: A multi-axis vision transformer with improved generalization for eye disease classification using explainable AI with insertion-deletion operations on fundus images. |
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| Authors: | Santo MMH; Department of Information Technology, Central Queensland University, Melbourne, Victoria, Australia., Bhoyan FH; Department of Computer Science and Engineering, University of Liberal Arts, Dhaka, Bangladesh., Farhad FIJ; Department of Information Technology, Central Queensland University, Melbourne, Victoria, Australia., Farid FA; Centre for Image and Vision Computing (CIVC), COE for Artificial Intelligence, Faculty of Artificial Intelligence and Engineering (FAIE), Multimedia University, Cyberjaya, Selangor, Malaysia., Chakraborty S; Department of Computer Science, Old Dominion University Norfolk, Norfolk, Virginia, United States of America., Mehedi MHK; Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh., Uddin J; AI and Big Data Department, Endicott College, Woosong University, Daejeon, Republic of Korea., Karim HBA; Centre for Image and Vision Computing (CIVC), COE for Artificial Intelligence, Faculty of Artificial Intelligence and Engineering (FAIE), Multimedia University, Cyberjaya, Selangor, Malaysia. |
| Source: | PloS one [PLoS One] 2026 Apr 08; Vol. 21 (4), pp. e0346329. Date of Electronic Publication: 2026 Apr 08 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0346329 |
