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' surv...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 58; no. 5; pp. 1031 - 1046 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2020
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| Acceso en línea: | Ver este registro en EBSCOhost |