Performance evaluation of texture analysis based on kinetic parametric maps from breast DCE‐MRI in classifying benign from malignant lesions-Reference-Cited by-同舟云学术

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Performance evaluation of texture analysis based on kinetic parametric maps from breast DCE‐MRI in classifying benign from malignant lesions

Published:2020-03-13 Issue:8 Volume:121 Page:1181-1190
ISSN:0022-4790
Container-title:Journal of Surgical Oncology
language:en
Short-container-title:J Surg Oncol

Author:

Jiang Zejun¹²,Yin Jiandong²^ORCID

Affiliation:

1. College of Medicine and Biological Information EngineeringNortheastern University Shenyang Liaoning China

2. Department of RadiologyShengjing Hospital of China Medical University Shenyang Liaoning China

Funder

Research and Development (R&D) Foundation for Major Science and Technology from Shenyang

Natural Fund Guidance Plan from Liaoning

Big Data Foundation for Health Care from China Medical University

Publisher

Wiley

Subject

Oncology,General Medicine,Surgery

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jso.25901

Reference66 articles.

1. Breast Cancer: Epidemiology and Etiology

2. Breast cancer statistics, 2013

3. Can some patients avoid adjuvant chemotherapy for early-stage breast cancer?

4. Personalized medicine: Present and future of breast cancer management

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1. The value of the malignant subregion-based texture analysis in predicting the Ki-67 status in breast cancer;Frontiers in Oncology;2024-05-21

2. Machine learning and new insights for breast cancer diagnosis;Journal of International Medical Research;2024-04

3. Radiomics to Differentiate Malignant and Benign Breast Lesions: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis;Cureus;2023-11-18

4. Radiomics and artificial intelligence in breast imaging: a survey;Artificial Intelligence Review;2023-07-08

5. Fully automatic classification of breast lesions on multi-parameter MRI using a radiomics model with minimal number of stable, interpretable features;La radiologia medica;2023-01-20

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