CROWDSOURCING IMAGE ANNOTATION FOR NUCLEUS DETECTION AND SEGMENTATION IN COMPUTATIONAL PATHOLOGY: EVALUATING EXPERTS, AUTOMATED METHODS, AND THE CROWD

The development of tools in computational pathology to assist physicians and biomedical scientists in the diagnosis of disease requires access to high-quality annotated images for algorithm learning and evaluation. Generating high-quality expert-derived annotations is time-consuming and expensive. W...

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Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:Pac Symp Biocomput
Asıl Yazarlar: Irshad, H., Montaser-Kouhsari, L., Waltz, G., Bucur, O., Nowak, J.A., Dong, F., Knoblauch, N.W., Beck, A. H.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2015
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC4299942/
https://ncbi.nlm.nih.gov/pubmed/25592590
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