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Lesion-guided selective multi-modal integration for prostate cancer segmentation and PI-RADS grading in MP-MRI.

1/5 보강
Medical physics 📖 저널 OA 36.8% 2022: 0/1 OA 2024: 0/3 OA 2025: 16/31 OA 2026: 8/29 OA 2022~2026 2025 Vol.52(10) p. e70019
Retraction 확인
출처
PubMed DOI

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
For the Prostate158 dataset, we used the officially reported partition with 119 cases for training, 20 for validation, and 19 for testing.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Our model offers substantial advancements in both segmentation accuracy and PI-RADS grading, addressing the challenges of inter-reader variability and the need for high expertise in conventional diagnostic practices. This technological innovation holds promise for enhancing early, accurate detection and risk assessment in prostate cancer management, ultimately improving patient outcomes.

Wu M, Li F, Tao Y, Zhang Y, Wang S, Burstein PD

PubMed ↗ DOI ↗ BibTeX ↓ RIS ↓

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