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NTIS 바로가기멀티미디어학회논문지 = Journal of Korea Multimedia Society, v.25 no.8, 2022년, pp.1224 - 1232
임지영 (Dept. of Artificial Intelligence Convergence, Chonnam National University) , 도탄콩 (Dept. of Artificial Intelligence Convergence, Chonnam National University) , 김수형 (Dept. of Artificial Intelligence Convergence, Chonnam National University) , 이귀상 (Dept. of Artificial Intelligence Convergence, Chonnam National University) , 이민희 (Dept. of Nuclear Medicine, Chonnam National University Hwasun Hospital) , 민정준 (Dept. of Nuclear Medicine, Chonnam National University Hwasun Hospital) , 범희승 (Dept. of Nuclear Medicine, Chonnam National University Hwasun Hospital) , 김현식 (Medical Photonics Research Center, Korea Photonics Technology Institute) , 강세령 (Dept. of Nuclear Medicine, Chonnam National University Hwasun Hospital) , 양형정 (Dept. of Artificial Intelligence Convergence, Chonnam National University)
Whole body bone scan is the most frequently performed nuclear medicine imaging to evaluate bone metastasis in cancer patients. We evaluated the performance of a VGG16-based transfer learning classifier for bone scan images in which metastatic bone lesion was present. A total of 1,000 bone scans in 1...
M. Salim, E. Wahlin, K. Dembrower, E. Azavedo, T. Foukakis, and Y. Liu, et al., "External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms," The Journal of the American Medical Association Oncology, Vol. 6, No. 10, pp. 1581-1588, 2020.
E. Hwang, H. Kim, S. Yoon, J. Goo, and C. Park, "Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19," Korean Journal of Radiology, Vol. 10, pp. 1150-1160, 2020.
D. Kim, J. Park, J. Choi, D. Shim, H. Kim, and Y. Lee, "Building the Process for Reducing Whole Body Bone Scan Errors and its Effect," The Korean Journal of Nuclear Medicine Technology, Vol. 21, No. 1, pp. 76-82, 2017.
Artificial Intelligence Healthcare that Evolves with the Covid Era, https://www.medifonews.com/mobile/article.html?no163642 (accessed June 27, 2022).
Radiologist Workforce Crisis and Radiologist Shortage, http://www.bosa.co.kr/news/articleView.html?idxno2120014 (accessed June 27, 2022).
N. Papandrianos, E. Papageorgiou, A. Anagnostis, and K. Papageorgiou, "Bone Metastasis Classification Using Whole Body Images From Prostate Cancer Patients Based on Convolutional Neural Networks Application," PLOS ONE, Vol. 15, No. 8, e0237213, 2020.
N. Papandrianos, E. Papageorgiou, A. Anagnostis, and A. Feleki, "A Deep-Learning Approach for Diagnosis of Metastatic Breast Cancer in Bones from Whole-Body Scans," Applied Sciences, Article ID 997, 2020.
Z. Zhao, Y. Pi, L. Jiang, Y. Xian, J. Wei, and P. Yang. et al., "Deep Neural Network Based Artificial Intelligence Assisted Diagnosis of Bone Scintigraphy for Cancer Bone Metastasis," Scientific Reports, Article ID 17046, 2020.
T.C. Hsieh, C.W. Liao, Y.C. Lai, K.M. Law, P.K. Chan, and C.H. Kao, "Detection of Bone Metastases on Bone Scans through Image Classification with Constrastive Learning," Journal of Personalized Medicine, Article ID 1248, 2021.
K. Simonyan and A. Zisserman, "Very Deep Convolutional Networks for Large-Scale Image Recognition," arXiv Preprint, arXiv:1409.1556, 2014.
V. Nair and G.E. Hilton, "Rectified Linear Units Improve Restricted Boltzmann Machines," International Conference on Machine Learning, pp. 807-814, 2010.
K.M. He, X.Y. Zhang, S.Q. Ren, and J. Sun, "Deep Residual Learning for Image Recognition," 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770-778, 2016.
F. Chollet, "Xception: Deep Learning with Depthwise Separable Convolutions," 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1800-1807, 2017.
G. Huang, Z. Liu, L.V.D. Maaten, and K.Q. Weinberger, "Densely Connected Convolutional Networks," 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4700-4708, 2017.
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna, "Rethinking the Inception Architecture for Computer Vision," 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2818-2826, 2016.
R.R. Selvaraju, M. Cogswell, A. Das, R. Vedantam, D. Parikh, and D. Batra, "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization," 2017 IEEE International Conference on Computer Vision (ICCV), pp. 618-626, 2017.
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