Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study

BACKGROUND: For most computer-aided diagnosis (CAD) problems involving prostate cancer detection via medical imaging data, the choice of classifier has been largely ad hoc, or been motivated by classifier comparison studies that have involved large synthetic datasets. More significantly, it is curre...

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Опубликовано в: :BMC Med Imaging
Главные авторы: Viswanath, Satish E., Chirra, Prathyush V., Yim, Michael C., Rofsky, Neil M., Purysko, Andrei S., Rosen, Mark A., Bloch, B Nicolas, Madabhushi, Anant
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2019
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Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6396464/
https://ncbi.nlm.nih.gov/pubmed/30819131
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12880-019-0308-6
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