Factors associated with de novo metastatic disease in invasive breast cancer: comparison of artificial neural network and logistic regression models-Reference-Cited by-同舟云学术

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Factors associated with de novo metastatic disease in invasive breast cancer: comparison of artificial neural network and logistic regression models

Published:2019-02 Issue:1 Volume:8 Page:77-86
ISSN:2218-676X
Container-title:Translational Cancer Research
language:
Short-container-title:Transl. Cancer Res

Author:

Qiu Chunyan,Jiang Lingong,Cao Yangsen,Hu Can,Yu Yiyi,Zhang Huojun

Publisher

AME Publishing Company

Subject

Cancer Research,Radiology Nuclear Medicine and imaging,Oncology

Cited by 7 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. Artificial intelligence breakthroughs in pioneering early diagnosis and precision treatment of breast cancer: A multimethod study;European Journal of Cancer;2024-09

2. Twenty-five Years Overall Survival Prognostic Value of the Lymph Node Ratio inDe NovoMetastatic Breast Cancer;Anticancer Research;2024-04-27

3. Usefulness of machine learning and deep learning approaches in screening and early detection of breast cancer;Heliyon;2023-12

4. Machine learning and deep learning methods that use omics data for metastasis prediction;Computational and Structural Biotechnology Journal;2021

5. Artificial intelligence performance in detecting tumor metastasis from medical radiology imaging: A systematic review and meta-analysis;EClinicalMedicine;2021-01

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