Bibliographic Details
| Title: |
Deep learning (DL)-based advancements in prostate cancer imaging: Artificial intelligence (AI)-based segmentation of 68Ga-PSMSA PET for tumor volume assessment. |
| Authors: |
Usmani S; Department of Radiology and Nuclear Medicine Sultan Qaboos Comprehensive Cancer Care and Research Centre (SQCCCRC) University Medical city Muscat Oman., Al Riyami K; Department of Radiology and Nuclear Medicine Sultan Qaboos Comprehensive Cancer Care and Research Centre (SQCCCRC) University Medical city Muscat Oman., Kheruka S; Department of Radiology and Nuclear Medicine Sultan Qaboos Comprehensive Cancer Care and Research Centre (SQCCCRC) University Medical city Muscat Oman., Numani SP; Department of Radiology Carl T Hayden VA Medical Center Phoenix USA., Al Sukaiti R; Department of Radiology and Nuclear Medicine Sultan Qaboos Comprehensive Cancer Care and Research Centre (SQCCCRC) University Medical city Muscat Oman., Ahmed M; Medical University of Lublin Lublin Poland., Pervez N; Department of Radiation Oncology Sultan Qaboos Comprehensive Cancer Care and Research Centre (SQCCCRC) University Medical city Muscat Oman.; Internal Medicine College of Medicine and Health Sciences UAE University Abu Dhabi United Arab Emirates. |
| Source: |
Precision radiation oncology [Precis Radiat Oncol] 2025 May 03; Vol. 9 (2), pp. 120-132. Date of Electronic Publication: 2025 May 03 (Print Publication: 2025). |
| Publication Type: |
Journal Article; Review |
| Journal Info: |
Publisher: Wiley, in collaboration with the Shandong Cancer Hospital and Institute Country of Publication: Australia NLM ID: 101718782 Publication Model: eCollection Cited Medium: Internet ISSN: 2398-7324 (Electronic) Linking ISSN: 23987324 NLM ISO Abbreviation: Precis Radiat Oncol Subsets: PubMed not MEDLINE |
| Database: |
MEDLINE Ultimate |
