Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging
Link
https://link.springer.com/content/pdf/10.1007/s11604-022-01261-6.pdf
Reference26 articles.
1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68:7–30.
2. Giuliano AE, Hunt KK, Ballman KV, et al. Axillary dissection vs no axillary dissection in women with invasive breast cancer and sentinel node metastasis: a randomized clinical trial. JAMA. 2011;305:569–75.
3. Fujioka T, Mori M, Kubota K, et al. Clinical usefulness of ultrasound-guided fine needle aspiration and core needle biopsy for patients with axillary lymphadenopathy. Medicina (Kaunas). 2021;57:722.
4. Kikuchi Y, Mori M, Fujioka T, et al. Feasibility of ultrafast dynamic magnetic resonance imaging for the diagnosis of axillary lymph node metastasis: a case report. Eur J Radiol Open. 2020;7:100261.
5. Mori M, Fujioka T, Katsuta L, et al. Diagnostic performance of time-of-flight PET/CT for evaluating nodal metastasis of the axilla in breast cancer. Nucl Med Commun. 2019;40:958–64.
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