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Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Prostate cancer treatment planning is largely dependent upon examination of core-needle biopsies. The microscopic architecture of the prostate glands forms the basis for prognostic grading by pathologists. Interpretation of these convoluted three-dimensional (3D) glandular structures via visual insp...
Autores principales: | Xie, Weisi, Reder, Nicholas P., Koyuncu, Can, Leo, Patrick, Hawley, Sarah, Huang, Hongyi, Mao, Chenyi, Postupna, Nadia, Kang, Soyoung, Serafin, Robert, Gao, Gan, Han, Qinghua, Bishop, Kevin W., Barner, Lindsey A., Fu, Pingfu, Wright, Jonathan L., Keene, C. Dirk, Vaughan, Joshua C., Janowczyk, Andrew, Glaser, Adam K., Madabhushi, Anant, True, Lawrence D., Liu, Jonathan T.C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803395/ https://www.ncbi.nlm.nih.gov/pubmed/34853071 http://dx.doi.org/10.1158/0008-5472.CAN-21-2843 |
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