Self-supervised learning automates thyroid cytology image feature analysis
zakkohane · x · 2026-10-07
A Japanese team published in Communications Medicine a self-supervised learning approach to automatically acquire thyroid fine-needle aspiration cytology image features for classification, addressing the data-hungry nature of diagnostic model development; Zak Kohane looks forward to a prospective trial version.
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