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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/148411


    Title: Intelligent Classification and Retrieval by the Interpretation of Image Features
    Authors: 羅崇銘
    Lo, Chung-Ming
    Contributors: 圖檔所
    Keywords: Colorectal cancer;polyp;deep learning;computer-aided diagnosis;image retrieval
    Date: 2023-06
    Issue Date: 2023-11-30 16:03:05 (UTC+8)
    Abstract: The development of computer-aided diagnosis has undergone a significant transformation from multiple aspects. In the past, it was only used by radiology departments, but now it has expanded to almost every clinical specialty's imaging practices. It influences clinical diagnosis by analyzing the relationship between images and diseases, as well as their classification and retrieval. Deep learning-based convolutional neural networks or vision transformers are also leading the development in this field. This chapter introduces relevant topics on image recognition for colonoscopy and colorectal cancer, including the introduction of several articles including the early estimation of cancer by melanosis coli, the classification of polyp, and the presentation using content-based image retrieval.
    Relation: New Advances in Medicine and Medical Science, B P International Ltd., pp.60-73
    Data Type: book/chapter
    ISBN: 9788119315390
    DOI link: https://doi.org/10.9734/bpi/namms/v8/4965E
    DOI: 10.9734/bpi/namms/v8/4965E
    Appears in Collections:[Graduate Institute of Library, Information and Archival Studies] Books & Chapters in Books

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