Chinese Journal of Lasers, Volume. 51, Issue 15, 1507106(2024)

Dental‐Disease‐Recognition Algorithm of Panoramic Oral Radiograph Based on Improved YOLOv5s

Zhaofei Sun1,2, Jinghu Yu1,2、*, Xingfei Zhu1,2, Yu Lu1,2, Bufan Zhang1,2, and Qimeng Wang1,2
Author Affiliations
  • 1Academy of Mechanical Engineering, Jiangnan University, Wuxi 214122, Jiangsu , China
  • 2Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment & Technology, Wuxi 214122, Jiangsu , China
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    Figures & Tables(10)
    Framework of YOLO-Teeth model
    Flowchart of Triplet attention mechanism
    Comparison of three kinds of feature pyramid structure. (a) FPN; (b) PAN; (c) BiFPN
    Example of panoramic oral film
    Example diagram of oral diseases. (a) Apical periodoncitis; (b) dental caries; (c) furcation involvement of tooth root; (d) impacted teeth
    Experimental renderings of different attention mechanisms. (a) CA; (b) EMA; (c) ECA; (d) SE; (e) GAM; (f) Triplet
    Comparison of disease recognition effects between YOLOv5s and YOLO-Teeth model. (a) True labels; (b) recognition results of YOLOv5s; (c) recognition results of YOLO-Teeth model
    • Table 1. Results of different attention mechanisms

      View table

      Table 1. Results of different attention mechanisms

      Attention mechanismP /%R /%PmAP /%Size /MB

      YOLOv5s

      CA

      EMA

      ECA

      SE

      GAM

      Triplet

      78.3

      80.3(+2.0)

      81.2(+2.9)

      76.1(-2.2)

      81.8(+3.5)

      82.8(+4.5)

      79.9(+1.6)

      76.3

      79.0(+2.7)

      77.6(+1.3)

      78.5(+2.2)

      78.8(+2.5)

      77.5(-0.8)

      79.6(+3.3)

      82.5

      83.6(+1.1)

      84.4(+1.9)

      81.4(-1.1)

      84.7(+2.2)

      83.0(+0.5)

      85.9(+3.4)

      14.4

      14.4(+0)

      14.4(+0)

      14.4(+0)

      14.4(+0)

      27.5(+13.1)

      14.4(+0)

    • Table 2. Results of ablation experiments

      View table

      Table 2. Results of ablation experiments

      Attention mechanismP /%R /%PmAP /%Size /MB

      YOLOv5s

      Triplet

      BiFPN

      MPDIoU

      Triplet+BiFPN+MPDIoU

      78.3

      79.9(+1.6)

      80.5(+2.2)

      78.4(+0.1)

      83.3(+5.0)

      76.3

      79.6(+3.3)

      77.7(+1.4)

      78.4(+2.1)

      79.5(+3.2)

      82.5

      85.9(+3.4)

      85.4(+2.9)

      85.4(+2.9)

      86.6(+4.1)

      14.4

      14.4(+0)

      14.7(+0.3)

      14.4(+0)

      14.7(+0.3)

    • Table 3. Evaluation of experimental results from different algorithms

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      Table 3. Evaluation of experimental results from different algorithms

      ModelDiseasePmAP /%GFLOPs /millionSize /MB
      api PA /%dec PA /%fui PA /%imt PA /%

      Faster R-CNN

      SSD

      YOLOv3-tiny

      YOLOv5s

      YOLOv5m

      YOLOv5l

      YOLOv5x

      YOLOv7-tiny

      YOLOv8n

      YOLOv8s

      YOLO-Teeth

      65.2

      38.5

      37.8

      70.2

      71.2

      72.0

      71.7

      56.0

      70.0

      74.2

      74.0

      66.1

      36.4

      54.5

      70.4

      70.2

      73.9

      77.5

      67.5

      72.0

      75.0

      79.1

      85.9

      71.2

      89.9

      92.8

      95.1

      95.7

      94.2

      88.4

      94.3

      94.3

      96.0

      88.2

      75.3

      97.0

      96.6

      97.7

      97.7

      96.4

      96.2

      96.6

      97.4

      97.5

      76.4

      55.4

      69.8

      82.5

      83.5

      84.8

      84.9

      77.0

      83.2

      85.2

      86.6

      381.9

      130.2

      12.9

      15.8

      47.9

      107.7

      203.8

      13.0

      8.1

      28.4

      16.5

      324.5

      110.6

      17.4

      14.4

      40.2

      91.5

      173.1

      11.6

      6.2

      22.5

      14.7

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    Zhaofei Sun, Jinghu Yu, Xingfei Zhu, Yu Lu, Bufan Zhang, Qimeng Wang. Dental‐Disease‐Recognition Algorithm of Panoramic Oral Radiograph Based on Improved YOLOv5s[J]. Chinese Journal of Lasers, 2024, 51(15): 1507106

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    Paper Information

    Category: Biomedical Optical Imaging

    Received: Jan. 15, 2024

    Accepted: Feb. 29, 2024

    Published Online: Jul. 23, 2024

    The Author Email: Yu Jinghu (jhyu@jiangnan.edu.cn)

    DOI:10.3788/CJL240499

    CSTR:32183.14.CJL240499

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