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Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
BACKGROUND: Deep learning (DL) is a representation learning approach ideally suited for image analysis challenges in digital pathology (DP). The variety of image analysis tasks in the context of DP includes detection and counting (e.g., mitotic events), segmentation (e.g., nuclei), and tissue classi...
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| Опубликовано в: : | J Pathol Inform |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Medknow Publications & Media Pvt Ltd
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4977982/ https://ncbi.nlm.nih.gov/pubmed/27563488 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4103/2153-3539.186902 |
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