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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.8
- 수록면
- 1,224 - 1,232 (9page)
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초록· 키워드
오류제보하기
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 1,000 cancer patients (500 patients with bone metastasis, 500 patients without bone metastasis) were evaluated. Bone scans were labeled with abnormal/normal for bone metastasis using medical reports and image review. Subsequently, gradient-weighted class activation maps (Grad-CAMs) were generated for explainable AI. The proposed model showed AUROC 0.96 and F1-Score 0.90, indicating that it outperforms to VGG16, ResNet50, Xception, DenseNet121 and InceptionV3. Grad-CAM visualized that the proposed model focuses on hot uptakes, which are indicating active bone lesions, for classification of whole body bone scan images with bone metastases.
목차
ABSTRACT
1. 서론
2. 관련 연구
3. VGG16 기반 전이학습을 이용한 뼈 전이 분류 모델
4. 실험 및 결과
5. 결론
REFERENCE
참고문헌 (17)
참고문헌 신청
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?no=163642 (accessed June 27, 2022).
Radiologist Workforce Crisis and Radiologist Shortage, http://www.bosa.co.kr/news/articleView.html?idxno=2120014 (accessed June 27, 2022).
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?no=163642 (accessed June 27, 2022).
Radiologist Workforce Crisis and Radiologist Shortage, http://www.bosa.co.kr/news/articleView.html?idxno=2120014 (accessed June 27, 2022).
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UCI(KEPA) : I410-ECN-0101-2022-004-001691449