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Identification and Localization of Breast Tumor Components via a Convolutional Neural Network Based on High-Frequency Ultrasound Combined With Histopathologic Registration: Prospective Study.

1/5 보강
JMIR medical informatics 2026 Vol.14() p. e81181
Retraction 확인
출처
PubMed DOI PMC

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
105 participants with 386 ultrasound images of breast cancer were included, with 270 (70%), 78 (20.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSIONS] The technique for spatial registration of breast WSIs and ultrasound images of a needle tract was established. Breast cancer regions were accurately identified and localized on a pixel level in high-frequency ultrasound images via an advanced convolutional neural network with histopathologic WSI as the reference standard.

Yao JQ, Zhou WW, Chai ZF, Ren F, Huang TY, Zhen TT

📖 무료 전문 🟢 PMC 전문 PMC12829891
PubMed ↗ DOI ↗ BibTeX ↓ RIS ↓

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