Enhancing Vision Transformer Performance with Rotation Based Augmentation for Classifying Images of Colon Cancer Pathology

Background: In medical imaging, classifying images of colon cancer pathology is still an essential challenge, especially for facilitating early diagnosis and successful intervention. Recently, Vision Transformer (ViT) models have demonstrated great promise for a variety of computer vision tasks, in...

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Autors principals:	Rudy Eko Prasetya, M. Arief Soeleman, Farrikh Al Zami, Affandy Affandy, Aris Marjuni, Mohammad Iqbal Saryuddin Assaqty
Format:	Artigo
Idioma:	Inglês
Publicat:	Universitas Nusantara PGRI Kediri 2025-07-01
Col·lecció:	Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi
Matèries:	Vision Transformer Data Augmentation Images Classification Colon Cancer
Accés en línia:	https://ojs.unpkediri.ac.id/index.php/intensif/article/view/24918
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