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Artificial intelligence-based morphometric signature to identify ductal carcinoma in situ with low risk of progression to invasive breast cancer.

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第一作者： Marcelo,Sobral-Leite

第一单位： Netherlands Cancer Institute.

作者： Marcelo,Sobral-Leite ^[1] ; Simon,Castillo ^[2] ; Shiva,Vonk ^[1] ; Xenia,Melillo ^[1] ; Noomie,Lam ^[1] ; Brandi,de Bruijn ^[1] ; Yeman,Hagos ^[3] ; Joyce,Sanders ^[1] ; Mathilde,Almekinders ^[1] ; Lindy,Visser ^[1] ; Emma,Groen ^[1] ; Petra,Kristel ^[1] ; Caner,Ercan ^[2] ; Leyla,Azarang ^[1] ; Yinyin,Yuan ^[4] ; Grand Challenge PRECISION Consortium ^[1] ; Renee,Menezes ^[1] ; Esther,Lips ^[1] ; Jelle,Wesseling

作者单位： Netherlands Cancer Institute. ^[1] The University of Texas MD Anderson Cancer Center. ^[2] The Institute of Cancer Research. ^[3] The Institute of Cancer Research, London. ^[4]

关键词 DCIS artificial intelligence biomarkers digital pathology

DOI 10.21203/rs.3.rs-3639521/v1

PMID 38168198

发布时间 2025-02-07

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Artificial intelligence-based morphometric signature to identify ductal carcinoma in situ with low risk of progression to invasive breast cancer.

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Artificial intelligence-based morphometric signature to identify ductal carcinoma in situ with low risk of progression to invasive breast cancer.

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