Joint Liver Lesion Segmentation and Classification via Transfer Learning

26 Apr 2020Michal HekerHayit Greenspan

Transfer learning and joint learning approaches are extensively used to improve the performance of Convolutional Neural Networks (CNNs). In medical imaging applications in which the target dataset is typically very small, transfer learning improves feature learning while joint learning has shown effectiveness in improving the network's generalization and robustness... (read more)

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