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A Deep Learning Model for Comprehensive Automated Bone Lesion Detection and Classification on Staging Computed Tomography Scans.

1/5 보강

Academic radiology 📖 저널 OA 7.7% 2023~2026 2025 Vol.32(9) p. 5353-5363

PICO 자동 추출 (휴리스틱, conf 2/4)

P · Population 대상 환자/모집단

402 patients' CTs, including prostate cancer patients with benign or malignant osteoblastic (blastic) bone lesions, and patients with benign or malignant osteolytic (lytic) bone lesions from various primary cancers.

I · Intervention 중재 / 시술

추출되지 않음

C · Comparison 대조 / 비교

추출되지 않음

O · Outcome 결과 / 결론

[CONCLUSION] Our lesion detection and classification AI model performs accurately and has the potential to correct physician errors. Further studies should investigate if the model can impact physician review in terms of detection rate, classification accuracy, and review time.

Simon BD, Harmon SA, Yang D, Belue MJ, Xu Z, Tetreault J

📖 무료 전문 🟢 PMC 전문 PMC12252225

PubMed ↗ DOI ↗ BibTeX ↓ RIS ↓

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