Guoliang Yang, Zhendong Lai, Yang Wang. Skin Lesion Image Segmentation Algorithm Based on Multi-Scale DenseNet[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181020
- Laser & Optoelectronics Progress
- Vol. 57, Issue 18, 181020 (2020)
Fig. 1. Dense connection mechanism of DenseNet
Fig. 2. Flow chat of skin lesion image segmentation algorithm based on MSDN
Fig. 3. Structural diagram. (a) PMBS1 module; (b) PMBS2 module
Fig. 4. Network structure of pyramid pooling model
Fig. 5. Architecture of MSDN
Fig. 6. Features of skin lesion images in ISBI 2016 dataset
Fig. 7. Image pre-processing. (a) Original lesion image; (b) outcome of closing morphological operation for artifacts removal; (c) resultant smooth image; (d) sharp image after convolution of un-sharped filter
Fig. 8. Segmentation results using different algorithms. (a) Input images; (b) labels; (c) results by MSDN; (d) results by U-Net; (e) results by FCN
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Table 1. Results of comparative experiments
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Table 2. Performance evaluation of MSDN in ISBI 2016 dataset under different conditions
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Table 3. Performance comparison of segmentation results in ISIB 2016 dataset
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