Laser & Optoelectronics Progress, Volume. 57, Issue 14, 141020(2020)
Application of Improved Convolutional Neural Network in Medical Image Segmentation
Fig. 2. Dilated convolutions under different dilation rates when convolution kernel is 3×3. (a) Dilation rate is 1; (b) dilation rate is 2
Fig. 6. Four modal slice images. (a) T1 modal slice image; (b) T1c modal slice image; (c) T2 modal slice image; (d) Flair modal slice image
Fig. 7. Comparison between results segmented by different models and annotations of experts. (a) Two-dimensional brain tumor slices; (b) annotations of experts; (c) results segmented by DenseU-net model; (d) results segmented by DenseU-net-CRFRNN model
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Qipeng Ma, Linbo Xie, Li Peng. Application of Improved Convolutional Neural Network in Medical Image Segmentation[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141020
Category: Image Processing
Received: Nov. 1, 2019
Accepted: Dec. 17, 2019
Published Online: Jul. 28, 2020
The Author Email: Linbo Xie (xie_linbo@jiangnan.edu.cn)