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Generative Adversarial Domain Adaptation for Nucleus Quantification in Images of Tissue Immunohistochemically Stained for Ki-67
PURPOSE: We focus on the problem of scarcity of annotated training data for nucleus recognition in Ki-67 immunohistochemistry (IHC)–stained pancreatic neuroendocrine tumor (NET) images. We hypothesize that deep learning–based domain adaptation is helpful for nucleus recognition when image annotation...
Shranjeno v:
| izdano v: | JCO Clin Cancer Inform |
|---|---|
| Main Authors: | , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
American Society of Clinical Oncology
2020
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7397778/ https://ncbi.nlm.nih.gov/pubmed/32730116 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1200/CCI.19.00108 |
| Oznake: |
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