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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Bibliografske podrobnosti
izdano v:Pac Symp Biocomput
Main Authors: Irshad, H., Montaser-Kouhsari, L., Waltz, G., Bucur, O., Nowak, J.A., Dong, F., Knoblauch, N.W., Beck, A. H.
Format: Artigo
Jezik:Inglês
Izdano: 2015
Teme:
Article
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC4299942/
https://ncbi.nlm.nih.gov/pubmed/25592590
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