Analysis of Deep Ultraviolet Fluorescence Images for Intraoperative Breast Tumor Margin Assessment.

Lu, Tongtong; Jorns, Julie M; Ye, Dong Hye; Patton, Mollie; Gilat-Schmidt, Taly; Yen, Tina; Yu, Bing

Lu, Tongtong; Jorns, Julie M; Ye, Dong Hye; Patton, Mollie; Gilat-Schmidt, Taly; Yen, Tina; Yu, Bing.

Afiliação

Lu T; Joint Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI 53233 & 53226, USA.
Jorns JM; Department of Pathology & Laboratory Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Ye DH; Department of Computer Science, Georgia State University, Atlanta, GA 30302, USA.
Patton M; Department of Pathology & Laboratory Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Gilat-Schmidt T; Joint Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI 53233 & 53226, USA.
Yen T; Department of Surgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Yu B; Joint Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI 53233 & 53226, USA.

Proc SPIE Int Soc Opt Eng ; 123682023.

Article em En | MEDLINE | ID: mdl-37292087

Palavras-chave

Breast-conserving surgery; fluorescence microscopy; machine learning; tumor margin; ultraviolet

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc SPIE Int Soc Opt Eng Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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