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

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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Bibliographic Details
Main Authors: Rudy Eko Prasetya, M. Arief Soeleman, Farrikh Al Zami, Affandy Affandy, Aris Marjuni, Mohammad Iqbal Saryuddin Assaqty
Format: Article
Language:English
Published: Universitas Nusantara PGRI Kediri 2025-07-01
Series:Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi
Subjects:
Vision Transformer
Data Augmentation
Images Classification
Colon Cancer
Online Access:https://ojs.unpkediri.ac.id/index.php/intensif/article/view/24918
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