Acta Optica Sinica, Volume. 40, Issue 6, 0610001(2020)
Automatic Segmentation Algorithm for Multimodal Magnetic Resonance-Based Brain Tumor Images
Fig. 2. Dot product operation diagram of 3D convolution with input voxel block. (a) Original 3D convolution operation; (b) 2-dilated 3D convolution operation
Fig. 4. Sketch map of input images sub-sampling and HDC receptive fieldNote:In layer 3 4 5, the size of images is enlarged to scale for better demonstration.
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Cheng'en He, Huijun Xu, Zhong Wang, Liping Ma. Automatic Segmentation Algorithm for Multimodal Magnetic Resonance-Based Brain Tumor Images[J]. Acta Optica Sinica, 2020, 40(6): 0610001
Category: Image Processing
Received: Aug. 19, 2019
Accepted: Nov. 28, 2019
Published Online: Mar. 6, 2020
The Author Email: He Cheng'en (530208058@qq.com), Xu Huijun (839000429@qq.com), Wang Zhong (1648277629@qq.com)