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Maartje M. van Seijen

King’s College London

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Scholarly Papers (1)

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Deep Learning for Predicting Invasive Recurrence of Ductal Carcinoma in Situ: Leveraging Histopathology Images and Clinical Features

Number of pages: 13 Posted: 03 May 2024
Shannon Doyle, Esther H. Lips, Eric Marcus, Lennart Mulder, Yat-Hee Liu, Francesco Dal Canton, Timo Kootstra, Maartje M. van Seijen, Ihssane Bouybayoune, Elinor J. Sawyer, Alastair Thompson, Sarah E. Pinder, Grand Challenge PRECISION Consortium, Clara Isabel Sánchez, Jonas Teuwen and Jelle Wesseling
Netherlands Cancer Institute, Netherlands Cancer Institute, Netherlands Cancer Institute, Netherlands Cancer Institute, Netherlands Cancer Institute, Netherlands Cancer Institute, Netherlands Cancer Institute, King’s College London, King’s College London, King’s College London, Baylor College of Medicine - Department of Surgery, King’s College London, Independent, University of Amsterdam, Netherlands Cancer Institute and Netherlands Cancer Institute
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DCIS, ductal carcinoma in situ, breast cancer, deep learning, AI, recurrence prediction, prognostication