Prostate cancer malignancy detection and localization from mpMRI using auto-deep learning as one step closer to clinical utilization

Automatic diagnosis of malignant prostate cancer patients from mpMRI has been studied heavily in the past years. Model interpretation and domain drift have been the main road blocks for clinical utilization. As an extension from our previous work we trained on a public cohort with 201 patients and t...

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Detalles Bibliográficos
Autores principales: Zong, Weiwei, Carver, Eric, Zhu, Simeng, Schaff, Eric, Chapman, Daniel, Lee, Joon, Bagher-Ebadian, Hassan, Movsas, Benjamin, Wen, Winston, Alafif, Tarik, Zong, Xiangyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794806/
https://www.ncbi.nlm.nih.gov/pubmed/36575209
http://dx.doi.org/10.1038/s41598-022-27007-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794806/
https://www.ncbi.nlm.nih.gov/pubmed/36575209
http://dx.doi.org/10.1038/s41598-022-27007-y

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