Health AI Central
Peer-Reviewed Publication
J Pathol Inform2026;23100703.November 1, 2026Journal Article

Dual-level knowledge distillation from vision transformer to Swin transformer for fine-grained brain tumor classification: A 44-class MRI benchmark.

Eram Mahamud1,2, Md Assaduzzaman1,2, Nafiz Fahad3,4, Tze Hui Liew3,5, Ohidujjaman6
1Dept. of CSE, Daffodil International University, Dhaka, Bangladesh.
2DeepHealth Research Lab, Dhaka, Bangladesh.
3Faculty of Information Science and Technology (FIST), Multimedia University, Melaka, Malaysia.
4ELITE Research Lab, New York, NY, United States.
5Centre for Intelligent Cloud Computing (CICC), COE of Advanced Cloud, Faculty of Information Science & Technology, Multimedia University, Melaka, Malaysia.
6Dept. of CSE, United International University, Dhaka, Bangladesh.
PubMed PMC DOI PDF

Abstract

Accurate subtype classification of brain tumors from MRI requires simultaneous discrimination across histological category and imaging modality. We propose a dual-level knowledge distillation (DLKD) framework that transfers logit-level soft targets (temperature T = 4.0, weight α = 0.6) and feature-level representations via a learnable projector from a frozen vision transformer-Base teacher (86.6 M…

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