Development and Validation of an Algorithm for Segmentation of the Prostate and its Zones from Three-dimensional Transrectal Multiparametric Ultrasound Images
We developed a computer tool to automatically identify the prostate in three-dimensional ultrasound images. The results show high accuracy and closely match manual assessments by urologists. This tool has potential for use in a computer-aided diagnostic system for prostate cancer.
Authors
- Jorg R. Oddens (ORCID: https://orcid.org/0000-0002-6079-5613)
- Massimo Mischi (ORCID: https://orcid.org/0000-0002-1179-5385)
- Arnoud W. Postema (ORCID: https://orcid.org/0000-0003-0629-871X)
- Wim Zwart
- Auke Jager (ORCID: https://orcid.org/0000-0003-3937-7262)
- Harrie P. Beerlage (ORCID: https://orcid.org/0000-0001-8422-2441)
- Daniël L. van den Kroonenberg (ORCID: https://orcid.org/0000-0001-8448-4193)
- Florian Delberghe (ORCID: https://orcid.org/0009-0000-2937-9796)
Institutions
- Leiden University Medical Center (NL)
- Angiogenesis Foundation (US)
- Amsterdam University Medical Centers (NL)
- Eindhoven University of Technology (NL)
Publication Details
- Journal
- European Urology Open Science
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1016/j.euros.2025.03.005
- Citations
- 6
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 9.11