Cargando…
Clinical Trial Protocol: Developing an Image Classification Algorithm for Prostate Cancer Diagnosis on Three-dimensional Multiparametric Transrectal Ultrasound
INTRODUCTION AND HYPOTHESIS: The tendency toward population-based screening programs for prostate cancer (PCa) is expected to increase demand for prebiopsy imaging. This study hypothesizes that a machine learning image classification algorithm for three-dimensional multiparametric transrectal prosta...
Autores principales: | Jager, Auke, Postema, Arnoud W., Mischi, Massimo, Wijkstra, Hessel, Beerlage, Harrie P., Oddens, Jorg R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975006/ https://www.ncbi.nlm.nih.gov/pubmed/36874606 http://dx.doi.org/10.1016/j.euros.2022.12.018 |
Ejemplares similares
-
Corrigendum to “Clinical Trial Protocol: Developing an Image Classification Algorithm for Prostate Cancer Diagnosis on Three-dimensional Multiparametric Transrectal Ultrasound” [Eur. Urol. Open Sci. 49 (2023) 32–43]
por: Jager, Auke, et al.
Publicado: (2023) -
Multiparametric ultrasound in the detection of prostate cancer: a systematic review
por: Postema, Arnoud, et al.
Publicado: (2015) -
Multiparametric dynamic contrast-enhanced ultrasound imaging of prostate cancer
por: Wildeboer, Rogier R., et al.
Publicado: (2016) -
Accurate validation of ultrasound imaging of prostate cancer: a review of challenges in registration of imaging and histopathology
por: Wildeboer, Rogier R., et al.
Publicado: (2018) -
Three-dimensional greyscale transrectal ultrasound-guidance and biopsy core preembedding for detection of prostate cancer: Dutch clinical cohort study
por: van der Aa, Anouk Anna Maria Arnoldus, et al.
Publicado: (2019)