Editorial on “Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue”

Beatriu Reig; Richard Ha

doi:10.1002/jmri.27025

Editorial on “Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue”

Beatriu Reig
, Richard Ha

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Pages (from-to)	810-811
Number of pages	2
Journal	Journal of Magnetic Resonance Imaging
Volume	51
Issue number	3
DOIs	https://doi.org/10.1002/jmri.27025
State	Published - Mar 1 2020
Externally published	Yes

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1002/jmri.27025

Cite this

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title = "Editorial on “Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue”",

author = "Beatriu Reig and Richard Ha",

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pages = "810--811",

journal = "Journal of Magnetic Resonance Imaging",

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publisher = "John Wiley and Sons Inc.",

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T1 - Editorial on “Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue”

AU - Reig, Beatriu

AU - Ha, Richard

PY - 2020/3/1

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SP - 810

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JO - Journal of Magnetic Resonance Imaging

JF - Journal of Magnetic Resonance Imaging

IS - 3

ER -

Editorial on “Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue”

ASJC Scopus subject areas

Access to Document

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