Fully automated analysis for bone scintigraphy with artificial neural network: usefulness of bone scan index (BSI) in breast cancer
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology Nuclear Medicine and imaging,General Medicine
Link
http://link.springer.com/content/pdf/10.1007/s12149-019-01386-1.pdf
Reference29 articles.
1. Rubens RD. Bone metastases–the clinical problem. Eur J Cancer. 1998;34(2):210–3.
2. Zeintl J, et al. Quantitative accuracy of clinical 99mTc SPECT/CT using ordered-subset expectation maximization with 3-dimensional resolution recovery, attenuation, and scatter correction. J Nucl Med. 2010;51(6):921–8.
3. Fukuoka M, et al. Comparison of diagnostic value of I-123 MIBG and high-dose I-131 MIBG scintigraphy including incremental value of SPECT/CT over planar image in patients with malignant pheochromocytoma/paraganglioma and neuroblastoma. Clin Nucl Med. 2011;36(1):1–7.
4. Erdi YE, et al. Quantitative bone metastases analysis based on image segmentation. J Nucl Med. 1997;38(9):1401–6.
5. Imbriaco M, et al. A new parameter for measuring metastatic bone involvement by prostate cancer: the Bone Scan Index. Clin Cancer Res. 1998;4(7):1765–72.
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