Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation

Shuai Chen
Shuai Chen
Antonio García-Uceda Juárez
Antonio García-Uceda Juárez
Gijs van Tulder
Gijs van Tulder

MICCAI (3), pp. 457-465, 2019.

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Abstract:

We propose a novel semi-supervised image segmentation method that simultaneously optimizes a supervised segmentation and an unsupervised reconstruction objectives. The reconstruction objective uses an attention mechanism that separates the reconstruction of image areas corresponding to different classes. The proposed approach was evalua...More

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