Vision transformer and its variants for image classification in digital breast cancer histopathology: a comparative study-Reference-Cited by-同舟云学术

Vision transformer and its variants for image classification in digital breast cancer histopathology: a comparative study

Published:2023-10-05 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Sriwastawa Asmi,Arul Jothi J. Angel^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16954-x.pdf

Reference44 articles.

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3. Janowczyk A, Madabhushi A (2016) Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases. J Pathol Inf 7(1):29. https://doi.org/10.4103/2153-3539.186902

4. Dosovitskiy A et al (2020) An image is worth 16x16 words: Transformers for image recognition at scale. [Online] arXiv:2010.11929 [cs]

5. Heo B, Yun S, Han D, Chun S, Choe J, Oh S (2023) Rethinking spatial dimensions of vision transformers. Accessed: 12 Jan 2023. [Online]. Available: https://arxiv.org/pdf/2103.16302.pdf

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