Axillary lymph node metastasis status prediction of early-stage breast cancer using convolutional neural networks-Reference-Cited by-同舟云学术

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Axillary lymph node metastasis status prediction of early-stage breast cancer using convolutional neural networks

Published:2021-03 Issue: Volume:130 Page:104206
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Lee Yan-Wei,Huang Chiun-Sheng,Shih Chung-Chih,Chang Ruey-Feng

Funder

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference46 articles.

1. Cancer statistics;Siegel;CA A Cancer J. Clin.,2019

2. Breast cancer statistics, 2017, racial disparity in mortality by state;DeSantis;CA A Cancer J. Clin.,2017

3. Relation of number of positive axillary nodes to the prognosis of patients with primary breast cancer. An NSABP update;Fisher;Cancer,1983

4. Interaction of tumor cells and lymphatic vessels in cancer progression;Alitalo;Oncogene,2012

5. Distribution of axillary node metastases by level of invasion. An analysis of 539 cases;Veronesi;Cancer,1987

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3. Assessment of the axilla in women with early-stage breast cancer undergoing primary surgery: a review;World Journal of Surgical Oncology;2024-05-09

4. Evaluation of Sensitivity and Specificity of Ultrasound-Guided FNA of Suspicious Axillary Lymph Nodes in Patients with Breast Cancer;International Journal of Cancer Management;2024-04-29

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