A Distillation Approach to Transformer-Based Medical Image Classification with Limited Data

<b>Background/Objectives</b>: Although transformer-based deep learning architectures are preferred in many hybrid architectures due to their flexibility, they generally perform poorly on image classification tasks with small datasets. An important improvement in performance when transfor...

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Bibliographic Details
Main Authors: Aynur Sevinc, Murat Ucan, Buket Kaya
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/15/7/929
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