{
    "abstract": "The early detection of breast cancer, particularly in dense breast tissues, faces significant challenges with traditional imaging techniques such as mammography. This study utilizes a Near-infrared Scan (NIRscan) probe and an advanced convolutional neural network (CNN) model to enhance tumor localization accuracy and efficiency. CNN processed data from 133 breast phantoms into 266 samples using data augmentation techniques, such as mirroring. The model significantly improved image reconstruction, achieving an RMSE of 0.0624, MAE of 0.0360, R",
    "authors": [
        {
            "affiliation": "School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC V3T 0A3, Canada.",
            "firstname": "Maryam",
            "initials": "M",
            "lastname": "Momtahen"
        },
        {
            "affiliation": "School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC V3T 0A3, Canada.",
            "firstname": "Farid",
            "initials": "F",
            "lastname": "Golnaraghi"
        }
    ],
    "conclusions": null,
    "copyrights": null,
    "doi": "10.3390/s25082349\n10.1109/NEMO56117.2023.10202520\n10.1016/j.critrevonc.2020.103174\n10.1186/s42492-019-0012-y\n10.1007/s10552-024-01879-z\n10.1016/j.ejogrb.2019.04.003\n10.1053/j.sult.2017.09.006\n10.1186/1471-2407-13-339\n10.1177/135626229700300208\n10.1117/12.3009823\n10.3390/s23125761\n10.1109/TPAMI.2021.3075366\n10.1007/s11307-008-0176-x\n10.1016/j.jvir.2007.06.004\n10.3934/biophy.2017.3.337\n10.1186/bcr1358\n10.1364/AO.35.003432\n10.1155/2014/471764\n10.1109/ICCV.2015.324\n10.1117/1.jbo.24.5.051407\n10.1109/TMI.2019.2936522",
    "journal": "Sensors (Basel, Switzerland)",
    "keywords": [
        "NIRscan",
        "breast cancer imaging",
        "classification",
        "convolutional neural networks",
        "data augmentation",
        "deep learning",
        "image reconstruction",
        "tumor localization"
    ],
    "methods": null,
    "publication_date": "2025-04-26",
    "pubmed_id": "40285039\n33249359\n32240400\n38748276\n30974372\n29317037\n23837641\n37420927\n33891548\n19030937\n17804770\n28748217\n16457705\n21102732\n30569669\n31442973",
    "results": null,
    "title": "A Multitask CNN for Near-Infrared Probe: Enhanced Real-Time Breast Cancer Imaging.",
    "xml": "<Element 'PubmedArticle' at 0x788506b5f1f0>"
}