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Loukas C, L Kelekis N. Editorial for "MRI-Based Multiple Instance Convolutional Neural Network (MICNN) for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors". J Magn Reson Imaging. 2021;doi: 10.1002/jmri.28014.
Loukas, C., & L Kelekis, N. (2021). Editorial for "MRI-Based Multiple Instance Convolutional Neural Network (MICNN) for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors". Journal of magnetic resonance imaging : JMRI, . https://doi.org/10.1002/jmri.28014
Loukas, Constantinos, and L Kelekis, Nikolaos. "Editorial for "MRI-Based Multiple Instance Convolutional Neural Network (MICNN) for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors"." Journal of magnetic resonance imaging : JMRI vol. (2021). doi: https://doi.org/10.1002/jmri.28014
Loukas C, L Kelekis N. Editorial for "MRI-Based Multiple Instance Convolutional Neural Network (MICNN) for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors". J Magn Reson Imaging. 2021 Dec 01; doi: 10.1002/jmri.28014. Epub 2021 Dec 01. PMID: 34851547.
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J Magn Reson Imaging. 2021 Dec 01; doi: 10.1002/jmri.28014. Epub 2021 Dec 01.

Editorial for "MRI-Based Multiple Instance Convolutional Neural Network (MICNN) for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors".

Journal of magnetic resonance imaging : JMRI

Constantinos Loukas, Nikolaos L Kelekis

Affiliations

  1. Laboratory of Medical Physics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
  2. 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.

PMID: 34851547 DOI: 10.1002/jmri.28014

[No abstract available.]

References

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  2. Li Y, Jian J, Pickhardt PJ, et al. MRI-based machine learning for differentiating borderline from malignant epithelial ovarian tumors: A multicenter study. J Magn Reson Imaging 2020;52(3):897-904. - PubMed
  3. Li YA, Qiang JW, Ma FH, Li HM, Zhao SH. MRI features and score for differentiating borderline from malignant epithelial ovarian tumors. Eur J Radiol 2018;98:136-142. - PubMed
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  6. Wang R, Cai Y, Lee IK, et al. Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging. Eur Radiol 2021;31(7):4960-4971. - PubMed

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