Breast Cancer Risk Prediction Using Deep Learning-Reference-Cited by-同舟云学术

Breast Cancer Risk Prediction Using Deep Learning

Published:2021-12 Issue:3 Volume:301 Page:559-560
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Bae Min Sun¹^ORCID,Kim Hyug-Gi¹

Affiliation:

1. From the Department of Radiology, Inha University Hospital and School of Medicine, 27 Inhang-ro, Jung-gu, Incheon 22332, South Korea (M.S.B.); and Department of Radiology, Kyung Hee University Hospital, Seoul, South Korea (H.G.K.)

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2021211446

Reference10 articles.

1. Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening

2. Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications

3. Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment

4. A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

5. Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multiview deep learning networks based on automated breast volume scanner images for identifying breast cancer in BI-RADS 4;Frontiers in Oncology;2024-09-06

2. Assessing breast cancer volume alterations post-neoadjuvant chemotherapy through DenseNet-201 deep learning analysis on DCE-MRI;Journal of Radiation Research and Applied Sciences;2024-09

3. MRI‐Based Kinetic Heterogeneity Evaluation in the Accurate Access of Axillary Lymph Node Status in Breast Cancer Using a Hybrid CNN‐RNN Model;Journal of Magnetic Resonance Imaging;2024-01-11

4. A validation of an entropy-based artificial intelligence for ultrasound data in breast tumors;BMC Medical Informatics and Decision Making;2024-01-02

5. Predicting Neoadjuvant Chemotherapy Response and High-Grade Serous Ovarian Cancer From CT Images in Ovarian Cancer with Multitask Deep Learning: A Multicenter Study;Academic Radiology;2023-09