• Acta Photonica Sinica
  • Vol. 50, Issue 6, 197 (2021)
Haoyang ZHOU1, Bao FENG1、*, Feifei QI2, Zhuangsheng LIU3, and Wansheng LONG3
Author Affiliations
  • 1Medical Artificial Intelligence Laboratory, Guilin University of Aerospace Technology,Guilin,Guangxi54004, China
  • 2School of Internet Finance and Information Engineering, Guangdong University of Finance, Guangzhou51051, China
  • 3Institute of Medical Imaging,Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen,Guangdong529000, China
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    DOI: 10.3788/gzxb20215006.0610002 Cite this Article
    Haoyang ZHOU, Bao FENG, Feifei QI, Zhuangsheng LIU, Wansheng LONG. Combining MRF Energy and DCE-MRI Time-domain Features for Breast Tumors Segmentation Algorithm[J]. Acta Photonica Sinica, 2021, 50(6): 197 Copy Citation Text show less
    The flowchart of the algorithm
    Fig. 1. The flowchart of the algorithm
    DCE-MRI image
    Fig. 2. DCE-MRI image
    Time domain feature values in the red frame and green frame
    Fig. 3. Time domain feature values in the red frame and green frame
    Edge stop function
    Fig. 4. Edge stop function
    MRF energy image and KNN energy image
    Fig. 5. MRF energy image and KNN energy image
    Mass type breast lesion segmentation result
    Fig. 6. Mass type breast lesion segmentation result
    Average Dice similar coefficient and Hausdorff distance of mass type breast lesion
    Fig. 7. Average Dice similar coefficient and Hausdorff distance of mass type breast lesion
    Non-mass type breast lesion segmentation results
    Fig. 8. Non-mass type breast lesion segmentation results
    Average Dice similar coefficient and Hausdorff distance of non-mass type breast lesion
    Fig. 9. Average Dice similar coefficient and Hausdorff distance of non-mass type breast lesion
    Average Dice similar coefficient and Hausdorff distance of 53 clinical samples
    Fig. 10. Average Dice similar coefficient and Hausdorff distance of 53 clinical samples
    Segmentation algorithmTime complexityMean execute time/s
    ProposedOn215.17
    LBFOn212.323
    CVOn4.81
    LGDOn25.62
    LIFOn4.36
    MRFLBFOn29.45
    UnetOn22.13
    Table 1. Time complexity and mean execute time of algorithm
    Haoyang ZHOU, Bao FENG, Feifei QI, Zhuangsheng LIU, Wansheng LONG. Combining MRF Energy and DCE-MRI Time-domain Features for Breast Tumors Segmentation Algorithm[J]. Acta Photonica Sinica, 2021, 50(6): 197
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