Diagnosis of Benign and Malignant Breast Lesions on DCE‐MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue-Reference-Cited by-同舟云学术

Diagnosis of Benign and Malignant Breast Lesions on DCE‐MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue

Published:2019-11 Issue:3 Volume:51 Page:798-809
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J Magn Reson Imaging

Author:

Zhou Jiejie¹,Zhang Yang²,Chang Kai‐Ting²,Lee Kyoung Eun³,Wang Ouchen⁴,Li Jiance¹,Lin Yezhi⁵,Pan Zhifang⁵,Chang Peter²,Chow Daniel²,Wang Meihao¹,Su Min‐Ying²^ORCID

Affiliation:

1. Department of RadiologyFirst Affiliate Hospital of Wenzhou Medical University Wenzhou China

2. Department of Radiological SciencesUniversity of California Irvine California USA

3. Department of RadiologyInje University Seoul Paik Hospital, Inje University Seoul Korea

4. Department of Thyroid and Breast SurgeryFirst Affiliate Hospital of Wenzhou Medical University Wenzhou China

5. Information Technology CenterFirst Affiliate Hospital of Wenzhou Medical University Wenzhou China

Funder

Wenzhou Science and Technology Bureau

Science and Technology Department of Zhejiang Province

National Cancer Institute

Zhejiang Provincial Natural Science Foundation

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.26981

Reference48 articles.

1. Multiparametric MRI of the breast: A review

2. Contrast‐enhanced MRI for breast cancer screening

3. Utilization of breast cancer screening with magnetic resonance imaging in community practice

4. Computerized analysis of breast lesions in three dimensions using dynamic magnetic-resonance imaging

5. Quantitative Analysis of Lesion Morphology and Texture Features for Diagnostic Prediction in Breast MRI

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