Urinary bladder cancer staging in CT urography using machine learning

PURPOSE: To evaluate the feasibility of using an objective computer‐aided system to assess bladder cancer stage in CT Urography (CTU). MATERIALS AND METHODS: A dataset consisting of 84 bladder cancer lesions from 76 CTU cases was used to develop the computerized system for bladder cancer staging bas...

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Detalhes bibliográficos
Publicado no:Med Phys
Main Authors: Garapati, Sankeerth S., Hadjiiski, Lubomir, Cha, Kenny H., Chan, Heang‐Ping, Caoili, Elaine M., Cohan, Richard H., Weizer, Alon, Alva, Ajjai, Paramagul, Chintana, Wei, Jun, Zhou, Chuan
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2017
Assuntos:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5689080/
https://ncbi.nlm.nih.gov/pubmed/28786480
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.12510
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