"Assessing reproducibility in magnetic resonance (MR) radiomics features ..."

Yin Xi et al. (2021)

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DOI: 10.1117/12.2581467

access: closed

type: Conference or Workshop Paper

metadata version: 2025-03-03

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  - conf/micad/XiSDDLFSMT21
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  - https://dblp.org/rec/conf/micad/XiSDDLFSMT21
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). Computer-Aided Diagnosis 2021

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