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Inventi Impact: Biomedical Imaging

Articles

  • Inventi:ebmi/42452/21
    Lesion-Based Bone Metastasis Detection in Chest Bone Scintigraphy Images of Prostate Cancer Patients Using Pre-Train, Negative Mining, and Deep Learning
    01-Jul-2021 Research 2021 : July - September
    Da-Chuan Cheng, Te-Chun Hsieh, Kuo-Yang Yen, Chia-Hung Kao

    This study aimed to explore efficient ways to diagnose bone metastasis early using bone scintigraphy images through negative mining, pre-training, the convolutional neural network, and deep learning. We studied 205 prostate cancer patients and 371 breast cancer patients and used bone scintigraphy data from breast cancer patients to pre-train a YOLO v4 with a false-positive reduction strategy. With the pre-trained model, transferred learning was applied to prostate cancer patients to build a model to detect and identify metastasis locations using bone scintigraphy

    How to Cite this Article
    Attribution/ CC Compliant Citation: Cheng, Da-Chuan, et al. "Lesion-Based Bone Metastasis Detection in Chest Bone Scintigraphy Images of Prostate Cancer Patients Using Pre-Train, Negative Mining, and Deep Learning." Diagnostics 11.3 (2021): 518. https://doi.org/10.3390/diagnostics11030518 http://creativecommons.org/licenses/by/4.0/ Some formatting elements, header, footer, logos, dates and pagination were modified while adapting this article.
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