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Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosarcoma. This study reports the first fully automated tool to assess viable and necrotic tumor in osteosarcoma, employing advances in histopathology digitization and automated learning. We selected 40 di...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469748/ https://www.ncbi.nlm.nih.gov/pubmed/30995247 http://dx.doi.org/10.1371/journal.pone.0210706 |