Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans

In this study, we formulated an efficient deep learning-based classification strategy for characterizing metastatic bone lesions using computed tomography scans (CTs) of prostate cancer patients. For this purpose, 2,880 annotated bone lesions from CT scans of 114 patients diagnosed with prostate can...

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Detalles Bibliográficos
Autores principales: MASOUDI, SAMIRA, MEHRALIVAND, SHERIF, HARMON, STEPHANIE A., LAY, NATHAN, LINDENBERG, LIZA, MENA, ESTHER, PINTO, PETER A., CITRIN, DEBORAH E., GULLEY, JAMES L., WOOD, BRADFORD J., DAHUT, WILLIAM L., MADAN, RAVI A., BAGCI, ULAS, CHOYKE, PETER L., TURKBEY, BARIS
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562651/
https://www.ncbi.nlm.nih.gov/pubmed/34733603
http://dx.doi.org/10.1109/access.2021.3074051

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562651/
https://www.ncbi.nlm.nih.gov/pubmed/34733603
http://dx.doi.org/10.1109/access.2021.3074051

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