Contrastive Multiple Instance Learning: An Unsupervised Framework for Learning Slide-Level Representations of Whole Slide Histopathology Images without Labels

SIMPLE SUMMARY: Recent AI methods in the automated analysis of histopathological imaging data associated with cancer have trended towards less supervision by humans. Yet, there are circumstances when humans cannot lend a hand to AI. Hence, we present an unsupervised method to learn meaningful featur...

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Detalles Bibliográficos
Autores principales: Tavolara, Thomas E., Gurcan, Metin N., Niazi, M. Khalid Khan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738801/
https://www.ncbi.nlm.nih.gov/pubmed/36497258
http://dx.doi.org/10.3390/cancers14235778

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738801/
https://www.ncbi.nlm.nih.gov/pubmed/36497258
http://dx.doi.org/10.3390/cancers14235778

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