• Laser & Optoelectronics Progress
  • Vol. 56, Issue 8, 081001 (2019)
Ting Meng*, Yuhang Liu**, and Kaiyu Zhang
Author Affiliations
  • School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
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    DOI: 10.3788/LOP56.081001 Cite this Article Set citation alerts
    Ting Meng, Yuhang Liu, Kaiyu Zhang. Algorithm for Pathological Image Diagnosis Based on Boosting Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(8): 081001 Copy Citation Text show less
    Training process of boosting convolutional neural network model
    Fig. 1. Training process of boosting convolutional neural network model
    Test process of boosting convolutional neural network model
    Fig. 2. Test process of boosting convolutional neural network model
    MethodKidneyLungSpleen
    PatchImagePatchImagePatchImage
    Basic classifier82.8092.7391.3198.1890.9898.18
    Proposed84.1593.6493.3199.0992.1098.18
    Table 1. Patch-level and image-level diagnosis accuracies of kidney, lung and spleen%
    ClassKidneyLungSpleenMethod
    HealthyInflammatoryHealthyInflammatoryHealthyInflammatory
    88.1911.8184.5515.4591.478.53PoE
    Healthy88.2111.7996.523.4892.887.12DFDL
    96.363.6499.090.91100.000.00Proposed
    14.9685.047.3292.6810.0889.92PoE
    Inflammatory9.9290.082.5797.437.8992.11DFDL
    7.2892.720.00100.001.8298.18Proposed
    Table 2. Diagnosis results of kidney, lung and spleen images%
    MethodAccuracy
    IMBC92.1
    IMSLN92.7
    Proposed93.3
    Table 3. Patch-level diagnosis accuracies of images in Camelyon16 dataset%
    Ting Meng, Yuhang Liu, Kaiyu Zhang. Algorithm for Pathological Image Diagnosis Based on Boosting Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(8): 081001
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