Computer-aided diagnosis based on 3D deep convolutional neural network system using novel 3D magnetic resonance imaging sequences for high-grade prostate cancer
The 3DCNN-based AI diagnostic support system, developed in this study using innovative 3D multiparametric MRI sequences, has the potential to assist in identifying patients at a higher risk of pretreatment of high-grade PCa.
Authors
- Takanobu Utsumi (ORCID: https://orcid.org/0000-0003-4858-0641)
- Seiji Kato (ORCID: https://orcid.org/0000-0001-7597-0886)
- Ryo Oka (ORCID: https://orcid.org/0000-0003-1715-2222)
- Bochong Li (ORCID: https://orcid.org/0000-0003-1573-5379)
- Toshiya Nakaguchi
- Naoto Kamiya (ORCID: https://orcid.org/0000-0002-4183-2490)
- Hiroyoshi Suzuki (ORCID: https://orcid.org/0000-0001-5838-114X)
- Takumi Endo
Institutions
- Toho University (JP)
- Chiba University (JP)
- Toho University Medical Center Sakura Hospital (JP)
Publication Details
- Journal
- Current Urology
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1097/cu9.0000000000000271
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36