Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification

Daniele Perlo*, Luca Berton, Alessia Delpiano, Francesca Menchini, Stefano Tibaldi, Marco Grosso, Paolo Fonio

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    The liver is the most involved organ by distant metastasis in colon-rectal cancer (CRC) patients and it comes necessary to be aware of the mutational status of the lesions to correctly design the best individual treatment. So far, efforts have been made in order to develop non-invasive and real-time methods that permit the analysis of the whole tumor, using new artificial intelligence tools to analyze the tumor's image obtained by Computed Tomography (CT) scan. In order to address the current medical workflow, that is biopsy analysis-based, we propose the first DeepLearning-based exploration, to our knowledge, of such classification approach from the patient medical imaging. We propose i) a solid pipeline for managing undersized datasets of available CT scans and ii) a baseline study for genomics mutation diagnosis support for preemptive patient follow-up. Our method is able to identify CRC RAS mutation family from CT images with 0.73 F1 score.

    Original languageEnglish
    Title of host publicationProceedings - 2022 IEEE International Conference on Big Data, Big Data 2022
    EditorsShusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages4425-4433
    Number of pages9
    ISBN (Electronic)9781665480451
    DOIs
    Publication statusPublished - 2022
    Event2022 IEEE International Conference on Big Data, Big Data 2022 - Osaka, Japan
    Duration: 17 Dec 202220 Dec 2022

    Publication series

    NameProceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

    Conference

    Conference2022 IEEE International Conference on Big Data, Big Data 2022
    Country/TerritoryJapan
    CityOsaka
    Period17/12/2220/12/22

    Keywords

    • Classification
    • Colorectal Cancer
    • Computed Tomography
    • Deep Learning
    • Genomics Mutation
    • Liver Carcinoma
    • Self-Supervised Learning

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