Classification of signal-time curves from dynamic MR mammography by neural networks-Reference-Cited by-同舟云学术

Classification of signal-time curves from dynamic MR mammography by neural networks

Published:2001-01 Issue:1 Volume:19 Page:51-57
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Lucht Robert E.A,Knopp Michael V,Brix Gunnar

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

Reference19 articles.

1. Davis PL, McCartry KS. Sensitivity of enhanced MRI for the detection of breast cancer: new, multicentric, residual, and recurrent. Eur Radiol 1997;7(5):289–98.

2. Piccoli CW. Contrast-enhanced breast MRI: factors affecting sensitivity and specificity. Eur Radiol 1997;7(5):281–8.

3. Heywang-Koebrunner SH, Viehweg P, Heining A, Kuchler C. Contrast-enhanced MRI of the breast: accuracy, value, controversies, solutions. Eur J Radiol 1997;24(2):94–108.

4. Ercolani P, Valeri G, Amici F. Dynamic MRI of the breast. Eur J Radiol 1998;27(2):265–71.

5. Friedrich M. MRI of the breast: state of the art. Eur Radiol 1998;8(5):707–25.

Cited by 66 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. Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions;Applied Sciences;2021-02-20

2. CAD and Machine Learning for Breast MRI;Breast MRI for High-risk Screening;2020

3. Mammogram Classification Schemes by Using Convolutional Neural Networks;Communications in Computer and Information Science;2017-12-31

4. Automatic Approaches for CE-MRI Examination of the Breast: A Survey;2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData);2017-06

5. Feature Extraction and Classification of Breast Tumors Using Chaos and Fractal Analysis on Dynamic Magnetic Resonance Imaging;Iranian Red Crescent Medical Journal;2016-11-26