Cargando…
Convolutional Neural Networks for Automated Classification of Prostate Multiparametric Magnetic Resonance Imaging Based on Image Quality
BACKGROUND: Prostate magnetic resonance imaging (MRI) is technically demanding, requiring high image quality to reach its full diagnostic potential. An automated method to identify diagnostically inadequate images could help optimize image quality. PURPOSE: To develop a convolutional neural networks...
Autores principales: | Cipollari, Stefano, Guarrasi, Valerio, Pecoraro, Martina, Bicchetti, Marco, Messina, Emanuele, Farina, Lorenzo, Paci, Paola, Catalano, Carlo, Panebianco, Valeria |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291235/ https://www.ncbi.nlm.nih.gov/pubmed/34374181 http://dx.doi.org/10.1002/jmri.27879 |
Ejemplares similares
-
Biparametric prostate MRI: impact of a deep learning-based software and of quantitative ADC values on the inter-reader agreement of experienced and inexperienced readers
por: Cipollari, Stefano, et al.
Publicado: (2022) -
MRI-directed biopsy for primary detection of prostate cancer in a population of 223 men: MRI In-Bore vs MRI-transrectal ultrasound fusion-targeted techniques
por: Del Monte, Maurizio, et al.
Publicado: (2022) -
Systematic Review and Meta-Analysis of Vesical Imaging-Reporting and Data System (VI-RADS) Inter-Observer Reliability: An Added Value for Muscle Invasive Bladder Cancer Detection
por: Del Giudice, Francesco, et al.
Publicado: (2020) -
Prostate cancer screening research can benefit from network medicine: an emerging awareness
por: Panebianco, Valeria, et al.
Publicado: (2020) -
The learning curve in bladder MRI using VI-RADS assessment score during an interactive dedicated training program
por: da Silva, Miguel Correia, et al.
Publicado: (2022)