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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Detalles Bibliográficos
Autores principales: Viswanath, Satish E., Chirra, Prathyush V., Yim, Michael C., Rofsky, Neil M., Purysko, Andrei S., Rosen, Mark A., Bloch, B Nicolas, Madabhushi, Anant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396464/
https://www.ncbi.nlm.nih.gov/pubmed/30819131
http://dx.doi.org/10.1186/s12880-019-0308-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396464/
https://www.ncbi.nlm.nih.gov/pubmed/30819131
http://dx.doi.org/10.1186/s12880-019-0308-6

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