AdaEn-Net: An ensemble of adaptive 2D–3D Fully Convolutional Networks for medical image segmentation

Author:

Baldeon Calisto MariaORCID,Lai-Yuen Susana K.ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference55 articles.

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3. Baldeon Calisto, M., & Lai-Yuen, S. K. (2020). Self-adaptive 2D-3D ensemble of fully convolutional networks for medical image segmentation. In Proceedings of the SPIE medical imaging conference.

4. Baumgartner, C. F., Koch, L. M., Pollefeys, M., & Konukoglu, E. (2017). An exploration of 2D and 3D deep learning techniques for cardiac MR image segmentation. In International workshop on statistical atlases and computational models of the heart (pp. 111–119).

5. Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved?;Bernard;IEEE Transactions on Medical Imaging,2018

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