Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithelial ovarian tumors
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Medicine (miscellaneous)
Reference42 articles.
1. Current strategies for the targeted treatment of high-grade serous epithelial ovarian cancer and relevance of BRCA mutational status;Gadducci;J Ovarian Res,2019
2. MRI features and score for differentiating borderline from malignant epithelial ovarian tumors;Li;Eur J Radiol,2018
3. Y. Li et al., “MRI-based machine learning for differentiating borderline from malignant epithelial ovarian tumors: a multicenter study,” J Magn Reson Imaging, vol. n/a, no. n/a, doi: https://doi.org/10.1002/jmri.27084.
4. Diffusion-weighted MR imaging for differentiating borderline from malignant epithelial tumours of the ovary: pathological correlation;Zhao;Eur Radiol,2014
5. Deep learning-based classification of liver cancer histopathology images using only global labels;Sun;IEEE J Biomed Health Inform,2020
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