Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography-Reference-Cited by-同舟云学术

Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography

Published:2022-03-14 Issue:8 Volume:40 Page:814-822
ISSN:1867-1071
Container-title:Japanese Journal of Radiology
language:en
Short-container-title:Jpn J Radiol

Author:

Ozaki Jo,Fujioka Tomoyuki^ORCID,Yamaga Emi,Hayashi Atsushi,Kujiraoka Yu,Imokawa Tomoki,Takahashi Kanae,Okawa Sayuri,Yashima Yuka,Mori Mio,Kubota Kazunori,Oda Goshi,Nakagawa Tsuyoshi,Tateishi Ukihide

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.

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI Use in Mammography for Diagnosing Metachronous Contralateral Breast Cancer;Journal of Imaging;2024-08-28

2. Comparison of state-of-the-art biopsy systems for ultrasound-guided breast biopsy using a chicken breast phantom;Journal of Medical Ultrasonics;2024-08-06

3. Characterizing Sentinel Lymph Node Status in Breast Cancer Patients Using a Deep-Learning Model Compared With Radiologists' Analysis of Grayscale Ultrasound and Lymphosonography;Ultrasound Quarterly;2024-07-03

4. Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future;Diagnostic and Interventional Imaging;2024-06

5. Low tube voltage and deep-learning reconstruction for reducing radiation and contrast medium doses in thin-slice abdominal CT: a prospective clinical trial;European Radiology;2024-05-16