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Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer
PURPOSE: This study aims to combine multiparametric magnetic resonance imaging (MRI) and digitized pathology with machine learning to generate predictive maps of histologic features for prostate cancer localization. METHODS AND MATERIALS: Thirty-nine patients underwent MRI prior to prostatectomy. Af...
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| Publicado no: | Int J Radiat Oncol Biol Phys |
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| Main Authors: | , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6190585/ https://ncbi.nlm.nih.gov/pubmed/29908785 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijrobp.2018.04.044 |
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