Histopathology image embedding based on foundation models features aggregation for patient treatment...
Histopathology image embedding based on foundation models features aggregation for patient treatment response prediction
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Predicting the response of a patient to a cancer treatment is of high interest. Nonetheless, this task is still challenging from a medical point of view due to the complexity of the interaction between the patient organism and the considered treatment. Recent works on foundation models pre-trained with self-supervised learning on large-scale unlabe...
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Histopathology image embedding based on foundation models features aggregation for patient treatment response prediction
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TN_cdi_proquest_journals_3091015156
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3091015156
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2331-8422
