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Wireless Mobile Communication and Healthcare. 12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings

Research Article

Automatic Detection of Polyps Using Deep Learning

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-60665-6_19,
        author={Francisco Oliveira and Dalila Barbosa and Ishak Pa\`{e}al and Danilo Leite and Ant\^{o}nio Cunha},
        title={Automatic Detection of Polyps Using Deep Learning},
        proceedings={Wireless Mobile Communication and Healthcare. 12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings},
        proceedings_a={MOBIHEALTH},
        year={2024},
        month={6},
        keywords={Machine learning polyp detection colonoscopy YOLO},
        doi={10.1007/978-3-031-60665-6_19}
    }
    
  • Francisco Oliveira
    Dalila Barbosa
    Ishak Paçal
    Danilo Leite
    António Cunha
    Year: 2024
    Automatic Detection of Polyps Using Deep Learning
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-031-60665-6_19
Francisco Oliveira1, Dalila Barbosa1,*, Ishak Paçal, Danilo Leite1, António Cunha1
  • 1: UTAD—University of Trás-os-Montes and Alto Douro
*Contact email: dalila.i.barbosa@inesctec.pt

Abstract

Colorectal cancer is a leading health concern worldwide, with late detection being a primary challenge due to its often-asymptomatic nature. Routine examinations like colonoscopies play a pivotal role in early detection. This study harnesses the potential of Deep Learning, specifically convolutional neural networks, in enhancing the accuracy of polyp detection from medical images. Three distinct models, YOLOv5, YOLOv7, and YOLOv8, were trained on the PICCOLO dataset, a comprehensive collection of polyp images. The comparative analysis revealed YOLOv5’s submodel S as the most efficient, achieving an accuracy of 92.2%, a sensitivity of 69%, an F1 score of 74% and a mAP of 76.8%, emphasizing the effectiveness of these networks in polyp detection.

Keywords
Machine learning polyp detection colonoscopy YOLO
Published
2024-06-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-60665-6_19
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