Automatic breast lesion detection in ultrafast DCE‐MRI using deep learning-Reference-Cited by-同舟云学术

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Automatic breast lesion detection in ultrafast DCE‐MRI using deep learning

Published:2021-08-30 Issue:10 Volume:48 Page:5897-5907
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Ayatollahi Fazael¹²,Shokouhi Shahriar B.¹,Mann Ritse M.²,Teuwen Jonas²³

Affiliation:

1. Electrical Engineering Department Iran University of Science and Technology (IUST) Tehran Iran

2. Department of Radiology and Nuclear Medicine Radboud University Medical Center Nijmegen The Netherlands

3. Department of Radiation Oncology Netherlands Cancer Institute Amsterdam The Netherlands

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15156

Reference33 articles.

1. Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic Review

2. AI applications in breast imaging;Teuwen J;Artificial Hype,2019

3. American Cancer Society Guidelines for Breast Screening with MRI as an Adjunct to Mammography

4. Influence of Risk Category and Screening Round on the Performance of an MR Imaging and Mammography Screening Program in Carriers of the BRCA Mutation and Other Women at Increased Risk

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1. A Novel Artificial Intelligence-Based Hybrid System to Improve Breast Cancer DetectionUsing DCE-MRI;Bulletin of the Polish Academy of Sciences Technical Sciences;2024-01-30

2. ColonGen: an efficient polyp segmentation system for generalization improvement using a new comprehensive dataset;Physical and Engineering Sciences in Medicine;2024-01-15

3. Ultrafast Dynamic Contrast‐Enhanced MRI of the Breast: From Theory to Practice;Journal of Magnetic Resonance Imaging;2023-12-12

4. Artificial intelligence in breast imaging: potentials and challenges;Physics in Medicine & Biology;2023-11-28

5. Automatic detection of breast cancer for mastectomy based on MRI images using Mask R-CNN and Detectron2 models;Neural Computing and Applications;2023-11-27

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