Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation
碩士 === 國立臺灣大學 === 電機工程學研究所 === 106 === 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....
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2018
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Online Access: | http://ndltd.ncl.edu.tw/handle/rkmn36 |