Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation

Deep learning models such as convolutional neural network have been widely used in 3D biomedical segmentation and achieve state-of-the-art performance. However, most of them often adapt a single modality or stack multiple modalities as different input channels, which ignores the correlations among t...

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Veröffentlicht in:	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) S. 3739 - 3746
Hauptverfasser:	Kuan-Lun Tseng, Yen-Liang Lin, Hsu, Winston, Chung-Yang Huang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2017
Schlagworte:	Convolution Decoding Image segmentation Three-dimensional displays Tumors Two dimensional displays
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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