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"Evaluating the sensitivity of deep learning to inter-reader variations in ..."

Ansh Roge et al. (2022)

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DOI: 10.1117/12.2613245

access: closed

type: Conference or Workshop Paper

metadata version: 2024-04-27

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  dblp key:
  - conf/micad/RogeHSTBRWOVPMS22
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  - https://dblp.org/rec/conf/micad/RogeHSTBRWOVPMS22
Ansh Roge, Amogh Hiremath, Michael Sobota, Sree Harsha Tirumani, Leonardo Kayat Bittencourt, Justin Ream, Ryan Ward, Halimat Olaniyan, Sadhna Verma, Andrei S. Purysko, Anant Madabhushi, Rakesh Shiradkar:
Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer. Medical Imaging: Computer-Aided Diagnosis 2022

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