Using quantitative image analysis to classify axillary lymph nodes on breast MRI: A new application for the Z 0011 Era-Reference-Cited by-同舟云学术

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Using quantitative image analysis to classify axillary lymph nodes on breast MRI: A new application for the Z 0011 Era

Published:2015-03 Issue:3 Volume:84 Page:392-397
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Schacht David V.,Drukker Karen,Pak Iris,Abe Hiroyuki,Giger Maryellen L.

Funder

Department of Energy

National Institutes of Health

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Reference17 articles.

1. MRI evaluation of the contralateral breast in women with recently diagnosed breast cancer;Lehman;N Engl J Med,2007

2. Computer-aided diagnosis of breast cancer on mammograms;Doi;Breast Cancer,1997

3. Locally advanced breast cancer: MR imaging for prediction of response to neoadjuvant chemotherapy—results from ACRIN 6657/I-SPY trial;Hylton;Radiology,2012

4. Computerized three-class classifications of MRI-based prognostic markers for breast cancer;Bhooshan;Phys Med Biol,2011

5. Cancerous breast lesions on DCE-MRI: computerized characterization for image-based prognostic markers;Bhooshan;Radiology,2010

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1. Ability of dynamic contrast-enhanced magnetic resonance imaging to determine axillary sentinel lymph node status in patients with breast cancer;2023-09-13

2. A Nomogram for Identifying HR+/Her2- Breast Cancer Patients with Positive Sentinel Lymph Nodes and Omitted Axillary Lymph Node Dissection Who Need Abemaciclib Therapy;Medical Science Monitor;2023-06-08

3. Positron Emission Tomography/Magnetic Resonance Imaging Radiomics in Predicting Lung Adenocarcinoma and Squamous Cell Carcinoma;Frontiers in Oncology;2022-02-03

4. A meta-analysis of the diagnostic performance of machine learning-based MRI in the prediction of axillary lymph node metastasis in breast cancer patients;Insights into Imaging;2021-11-03

5. Clinical Artificial Intelligence Applications;Radiologic Clinics of North America;2021-11

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