2017
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation
CVPR 2017poster
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…