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DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images
Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuable information with relation to cancer disease and its clinical outcomes. Still, there are no highly accurate automated methods to correlate histolopathological images with brain cancer patients’...
Gorde:
| Argitaratua izan da: | Med Biol Eng Comput |
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| Egile Nagusiak: | , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Springer Berlin Heidelberg
2020
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7188709/ https://ncbi.nlm.nih.gov/pubmed/32124225 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11517-020-02147-3 |
| Etiketak: |
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