# Transition-zone PSA-density calculated from MRI deep learning prostate zonal segmentation model for prediction of clinically significant prostate cancer

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/transition-zone-psa-density-calculated-from-mri-deep-learning-prostate-zonal/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shiba Kuanar,Jason Cai,Hirotsugu Nakai,Hiroki Nagayama,Hiroaki Takahashi,Jordan D. LeGout,Akira Kawashima,Adam T. Froemming,Lance A. Mynderse,Chandler Dora,Mitchell R. Humphreys,Jason Klug,Panagiotis Korfiatis,Bradley A. Erickson,Naoki Takahashi |
| Citations | 15 |
| DOI | 10.1007/s00261-024-04301-z |
| Fields | Medicine,Physics and Astronomy |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4399808077 |
| PMID | 38896250 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Hiroki Nagayama](https://scholariq.org/researchers/hiroki-nagayama/)

## Paper primary topic

- [Prostate Cancer Diagnosis and Treatment](https://scholariq.org/topics/prostate-cancer-diagnosis-and-treatment/)

## Paper topics

- [Prostate Cancer Diagnosis and Treatment](https://scholariq.org/topics/prostate-cancer-diagnosis-and-treatment/)
- [Advanced Radiotherapy Techniques](https://scholariq.org/topics/advanced-radiotherapy-techniques/)
- [Prostate Cancer Treatment and Research](https://scholariq.org/topics/prostate-cancer-treatment-and-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.