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NiftyNet-based implementation of Autofocus Net and Autofocus Layer.

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Autofocus Net and Autofocus Layer

Introduction

This is a NiftyNet-based [3] implementation of our proposed Autofocus Net in [1] and autofocus convolutional layer as in [2].

Image of 3D WNet with Autofocus Layers

Citation

If you find the code implemented here useful, please cite the paper:

Stefani, A., Rahmat, R., Harris-Birtill, D. (2020). Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation.

References

[1] Stefani, A., Rahmat, R., Harris-Birtill, D. (2020). Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation.

[2] Autofocus Layer for Semantic Segmentation. Y. Qin, K. Kamnitsas, S. Ancha, J. Nanavati, G. Cottrell, A. Criminisi, A. Nori, MICCAI 2018.

[3] Gibson E., Li W., Sudre C., Fidon L., Shakir D. I., Wang G., Eaton-Rosen Z., Gray R., Doel T., Hu Y., Whyntie T., Nachev P., Modat M., Barratt D. C., Ourselin S., Cardoso M. J., Vercauteren T. (2018) NiftyNet: a deep-learning platform for medical imaging. In: Computer Methods and Programs in Biomedicine, vol 158, pages 113-122, 2018.