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Assessing reproducibility in magnetic resonance (MR) radiomics features between deep-learning segmented and expert manual segmented data and evaluating their diagnostic performance in pregnant women with suspected placenta accreta spectrum (PAS)

Yin Xi, Maysam Shahedi, Quyen N. Do, James D. Dormer, Matthew A. Lewis, Baowei Fei, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler. Assessing reproducibility in magnetic resonance (MR) radiomics features between deep-learning segmented and expert manual segmented data and evaluating their diagnostic performance in pregnant women with suspected placenta accreta spectrum (PAS). In Maciej A. Mazurowski, Karen Drukker, editors, Medical Imaging 2021: Computer-Aided Diagnosis, Online, February 15-20, 2021. Volume 11597 of SPIE Proceedings, SPIE, 2021. [doi]

Authors

Yin Xi

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Maysam Shahedi

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Quyen N. Do

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James D. Dormer

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Matthew A. Lewis

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Baowei Fei

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Catherine Y. Spong

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Ananth J. Madhuranthakam

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Diane M. Twickler

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