Editorial for “<scp>MRI</scp>‐Based Breast Cancer Classification and Localization by Multiparametric Feature Extraction and Combination Using Deep Learning”-Reference-Cited by-同舟云学术

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Editorial for “MRI‐Based Breast Cancer Classification and Localization by Multiparametric Feature Extraction and Combination Using Deep Learning”

Published:2023-04-13 Issue:1 Volume:59 Page:162-163
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Narongrit Folk W.¹²^ORCID,Rispoli Joseph V.¹²³⁴^ORCID

Affiliation:

1. Elmore Family School of Electrical and Computer Engineering Purdue University West Lafayette Indiana USA

2. Weldon School of Biomedical Engineering Purdue University West Lafayette Indiana USA

3. Purdue Institute for Cancer Research West Lafayette Indiana USA

4. Department of Radiology and Medical Imaging University of Virginia Charlottesville Virginia USA

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.28733

Reference10 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

2. The potential of multiparametric MRI of the breast

3. Multiparametric MR Imaging with High-Resolution Dynamic Contrast-enhanced and Diffusion-weighted Imaging at 7 T Improves the Assessment of Breast Tumors: A Feasibility Study

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

5. Magnetic Resonance Spectroscopy of the Breast

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