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Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks
The tumor-stroma ratio (TSR) reflected on hematoxylin and eosin (H&E)-stained histological images is a potential prognostic factor for survival. Automatic image processing techniques that allow for high-throughput and precise discrimination of tumor epithelium and stroma are required to elevate...
Tallennettuna:
| Julkaisussa: | Ann Biomed Eng |
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| Päätekijät: | , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6286645/ https://ncbi.nlm.nih.gov/pubmed/30051247 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10439-018-2095-6 |
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