Style Transfer–assisted Deep Learning Method for Kidney Segmentation at Multiphase MRI-Reference-Cited by-同舟云学术

Style Transfer–assisted Deep Learning Method for Kidney Segmentation at Multiphase MRI

Published:2023-11-01 Issue:6 Volume:5 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Guo Junyu¹^ORCID,Goyal Manu¹^ORCID,Xi Yin¹^ORCID,Hinojosa Lauren¹^ORCID,Haddad Gaelle¹^ORCID,Albayrak Emin¹^ORCID,Pedrosa Ivan¹^ORCID

Affiliation:

1. From the Department of Radiology (J.G., M.G., Y.X., L.H., G.H., E.A., I.P.), Department of Urology (I.P.), and Advanced Imaging Research Center (I.P.), University of Texas Southwestern Medical Center, 2201 Inwood Rd, Suite 202, Dallas, TX 75390-9085.

Funder

National Institutes of Health

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.230043

Reference22 articles.

1. Multiparametric MRI analysis for the evaluation of renal function in patients with hyperuricemia: a preliminary study

2. Characterization of solid renal neoplasms using MRI-based quantitative radiomics features

3. Deep learning to distinguish benign from malignant renal lesions based on routine MR imaging

4. Automatic Segmentation of Kidneys using Deep Learning for Total Kidney Volume Quantification in Autosomal Dominant Polycystic Kidney Disease

Cited by 1 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. MRI of kidney size matters;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-07-03