Contrastive Learning for Whole Slide Image Representation: A Self-Supervised Approach in Digital Pathology

Rukhma Aftab, Yan Qiang, Zhao Juanjuan

Open source

DOI: 10.59324/ejaset.2024.2(2).12
Published: 2024-03-01
Container: European Journal of Applied Science, Engineering and Technology
Publisher: AMO Publisher
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.59324/ejaset.2024.2-2-.12,
  title = {Contrastive Learning for Whole Slide Image Representation: A Self-Supervised Approach in Digital Pathology},
  author = {Rukhma Aftab and Yan Qiang and Zhao Juanjuan},
  year = {2024},
  journal = {European Journal of Applied Science, Engineering and Technology},
  doi = {10.59324/ejaset.2024.2(2).12},
  url = {https://doi.org/10.59324/ejaset.2024.2(2).12}
}

RIS

TY  - JOUR
TI  - Contrastive Learning for Whole Slide Image Representation: A Self-Supervised Approach in Digital Pathology
AU  - Rukhma Aftab
AU  - Yan Qiang
AU  - Zhao Juanjuan
PY  - 2024
JO  - European Journal of Applied Science, Engineering and Technology
DO  - 10.59324/ejaset.2024.2(2).12
UR  - https://doi.org/10.59324/ejaset.2024.2(2).12
ER  -

APA

Aftab, R., Qiang, Y., & Juanjuan, Z. (2024). Contrastive Learning for Whole Slide Image Representation: A Self-Supervised Approach in Digital Pathology. European Journal of Applied Science, Engineering and Technology. https://doi.org/10.59324/ejaset.2024.2(2).12

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crossref · retrieved 2026-11-10T09:57:16.432Z