Laser & Optoelectronics Progress, Volume. 59, Issue 4, 0410003(2022)

Improved Breast Mass Recognition YOLOv3 Algorithm Based on Cross-Layer Feature Aggregation

Shan Wang1... Yiying Hu1,*, Liang Feng2 and Linying Guo2 |Show fewer author(s)
Author Affiliations
  • 1School of Information Engineering, East China JiaoTong University, Nanchang , Jiangxi 330013, China
  • 2Department of Breast Oncology, The Third Hospital of Nanchang, Nanchang , Jiangxi 330009, China
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    Figures & Tables(15)
    Network structure of YOLOv3[20]
    Structural unit of YOLOv3[21]. (a) CBL unit; (b) residual unit
    Feature pyramid network[15]
    Structure of MCFN
    Pseudo code of SD-NMS algorithm
    Schematic diagram of RDIoU[19]
    Structure of proposed network
    Illustration of breast cancer screening cases
    Cropped images
    "Sphere" structural element[22]
    Result of local enhancement. (a) Original image; (b) enhanced image
    Training results of MCF-YOLO
    Comparison of Precision-Recall curves between MCF-YOLO and other object detection algorithms
    Comparison of masses detection results of five algorithms. (a) Ground truth of breast masses; (b) Faster RCNN; (c) SSD; (d) RetinaNet; (e) YOLOv3; (f) MCF-YOLO
    • Table 1. Quantitative comparison between MCF-YOLO and other object detection algorithms

      View table

      Table 1. Quantitative comparison between MCF-YOLO and other object detection algorithms

      AlgorithmBackboneAP (benign) /%AP (malignant) /%mAP@0.5 /%mAP@ 0.5∶0.95 /%Time /ms
      Faster RCNNResNet-10192.696.894.779.2101
      SSDResNet-10186.590.188.373.146
      RetinaNetResNet-10194.196.795.480.557
      YOLOv3Darknet5391.297.494.379.022
      MCF-YOLODarknet5394.897.496.181.628
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    Shan Wang, Yiying Hu, Liang Feng, Linying Guo. Improved Breast Mass Recognition YOLOv3 Algorithm Based on Cross-Layer Feature Aggregation[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0410003

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    Paper Information

    Category: Image Processing

    Received: Feb. 8, 2021

    Accepted: Mar. 22, 2021

    Published Online: Jan. 25, 2022

    The Author Email: Yiying Hu (yiyinghu1125@163.com)

    DOI:10.3788/LOP202259.0410003

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