Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans-Reference-Cited by-同舟云学术

Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans

Published:2022-01-01 Issue:1 Volume:4 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Hirsch Lukas^ORCID,Huang Yu^ORCID,Luo Shaojun^ORCID,Rossi Saccarelli Carolina,Lo Gullo Roberto,Daimiel Naranjo Isaac^ORCID,Bitencourt Almir G. V.^ORCID,Onishi Natsuko^ORCID,Ko Eun Sook^ORCID,Leithner Doris^ORCID,Avendano Daly^ORCID,Eskreis-Winkler Sarah^ORCID,Hughes Mary,Martinez Danny F.,Pinker Katja^ORCID,Juluru Krishna^ORCID,El-Rowmeim Amin E.^ORCID,Elnajjar Pierre,Morris Elizabeth A.^ORCID,Makse Hernan A.,Parra Lucas C.^ORCID,Sutton Elizabeth J.^ORCID

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.200231

Reference34 articles.

1. Cancerous Breast Lesions on Dynamic Contrast-enhanced MR Images: Computerized Characterization for Image-based Prognostic Markers

2. Neoadjuvant Chemotherapy for Breast Cancer: Functional Tumor Volume by MR Imaging Predicts Recurrence-free Survival—Results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL

3. Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival “early on” in neoadjuvant treatment of breast cancer

4. Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

Cited by 21 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. Progressive Dual Priori Network for Generalized Breast Tumor Segmentation;IEEE Journal of Biomedical and Health Informatics;2024-09

2. Automated abnormalities detection in mammography using deep learning;Complex & Intelligent Systems;2024-07-11

3. Seeing beyond cancer: multi-institutional validation of object localization and 3D semantic segmentation using deep learning for breast MRI;Medical Imaging 2024: Computer-Aided Diagnosis;2024-04-03

4. Development of a whole-slide-level segmentation-based dMMR/pMMR deep learning detector for colorectal cancer;iScience;2023-12

5. Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer;Cancers;2023-10-02