Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI-Reference-Cited by-同舟云学术

Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI

Published:2019-02 Issue:2 Volume:290 Page:290-297
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Truhn Daniel¹,Schrading Simone¹,Haarburger Christoph¹,Schneider Hannah¹,Merhof Dorit¹,Kuhl Christiane¹^ORCID

Affiliation:

1. From the Departments of Diagnostic and Interventional Radiology (D.T., S.S., H.S., C.K.) and Institute of Imaging and Computer Vision (C.H., D.M.), RWTH Aachen University, Aachen, Pauwelsstr 30, 52074 Aachen, Germany.

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2018181352

Reference23 articles.

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4. MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays

5. Large scale deep learning for computer aided detection of mammographic lesions

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