CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects

Ange Lou, Shuyue Guan, Hanseok Ko, Murray Loew

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    118 Citations (Scopus)

    Abstract

    Segmenting medical images accurately and reliably is important for disease diagnosis and treatment. It is a challenging task because of the wide variety of objects’ sizes, shapes, and scanning modalities. Recently, many convolutional neural networks (CNN) have been designed for segmentation tasks and achieved great success. Few studies, however, have fully considered the sizes of objects, and thus most demonstrate poor performance for small objects segmentation. This can have a significant impact on the early detection of diseases. This paper proposes a Context Axial Reserve Attention Network (CaraNet) to improve the segmentation performance on small objects compared with several recent state-of-the-art models. We test our CaraNet on brain tumor (BraTS 2018) and polyp (Kvasir-SEG, CVC-ColonDB, CVC-ClinicDB, CVC-300, and ETIS-LaribPolypDB) segmentation datasets. Our CaraNet achieves the top-rank mean Dice segmentation accuracy, and results show a distinct advantage of CaraNet in the segmentation of small medical objects. Codes available: https://github.com/AngeLouCN/CaraNet

    Original languageEnglish
    Title of host publicationMedical Imaging 2022
    Subtitle of host publicationImage Processing
    EditorsOlivier Colliot, Ivana Isgum, Bennett A. Landman, Murray H. Loew
    PublisherSPIE
    ISBN (Electronic)9781510649392
    DOIs
    Publication statusPublished - 2022
    EventMedical Imaging 2022: Image Processing - Virtual, Online
    Duration: 2021 Mar 212021 Mar 27

    Publication series

    NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    Volume12032
    ISSN (Print)1605-7422

    Conference

    ConferenceMedical Imaging 2022: Image Processing
    CityVirtual, Online
    Period21/3/2121/3/27

    Bibliographical note

    Publisher Copyright:
    © 2022 SPIE

    Keywords

    • Attention
    • Brain tumor
    • Colonoscopy
    • Context axial reverse
    • Small object segmentation

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Atomic and Molecular Physics, and Optics
    • Biomaterials
    • Radiology Nuclear Medicine and imaging

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