• Acta Photonica Sinica
  • Vol. 52, Issue 4, 0410002 (2023)
Weiwei GAO1、*, Yile YANG1, Yu FANG1, Bo FAN1, and Nan SONG2
Author Affiliations
  • 1Institute of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
  • 2Department of Ophthalmology, Eye, Ear, Nose and Throat Hospital of Fudan University, Shanghai 200031, China
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    DOI: 10.3788/gzxb20235204.0410002 Cite this Article
    Weiwei GAO, Yile YANG, Yu FANG, Bo FAN, Nan SONG. Improved Faster-RCNN Based on Multi Feature Scale Fusion for Automatic Detection of Microaneurysms in Retina[J]. Acta Photonica Sinica, 2023, 52(4): 0410002 Copy Citation Text show less
    Faster-RCNN algorithm structure
    Fig. 1. Faster-RCNN algorithm structure
    Flow of improved algorithm
    Fig. 2. Flow of improved algorithm
    Multi-feature scale fusion
    Fig. 3. Multi-feature scale fusion
    RPN based on multi feature fusion
    Fig. 4. RPN based on multi feature fusion
    Flush pooling of RoI
    Fig. 5. Flush pooling of RoI
    Comparison of pooling process in RoI
    Fig. 6. Comparison of pooling process in RoI
    Loss function gradient
    Fig. 7. Loss function gradient
    Detection results of MAs by Faster-RCNN-Pro
    Fig. 8. Detection results of MAs by Faster-RCNN-Pro
    Network structureMulti feature scale fusionLeveling and pooling of RoIBalanced L1 loss functionF-score/%
    Faster-RCNN×××83.21
    Faster-RCNN-I××90.03
    Faster-RCNN-II××87.89
    Faster-RCNN-III××85.94
    Faster-RCNN-Pro92.57
    Table 1. Performance evaluation of different improved Faster-RCNN models on the test set
    AlgorithmR/%P/%F-score/%
    Ref.[888.3081.1284.57
    Ref.[1287.5682.1584.77
    Ref.[1384.1888.7986.42
    Ref.[1483.9186.7585.31
    Ref.[1585.1287.4186.25
    Ref.[1687.0590.9188.94
    Faster-RCNN-Pro90.8994.3292.57
    Table 2. Comparison for detection performance of different algorithms
    AlgorithmR/%P/%F-score/%
    YOLOv588.7590.0389.39
    Faster-RCNN-Pro90.8994.3292.57
    Table 3. Comparison of detection performance with YOLOv5
    Weiwei GAO, Yile YANG, Yu FANG, Bo FAN, Nan SONG. Improved Faster-RCNN Based on Multi Feature Scale Fusion for Automatic Detection of Microaneurysms in Retina[J]. Acta Photonica Sinica, 2023, 52(4): 0410002
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