Deployed Deep Learning Kidney Segmentation for Polycystic Kidney Disease MRI-Reference-Cited by-同舟云学术

Deployed Deep Learning Kidney Segmentation for Polycystic Kidney Disease MRI

Published:2022-03-01 Issue:2 Volume:4 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Goel Akshay¹^ORCID,Shih George¹^ORCID,Riyahi Sadjad¹^ORCID,Jeph Sunil¹^ORCID,Dev Hreedi¹^ORCID,Hu Rejoice¹^ORCID,Romano Dominick¹^ORCID,Teichman Kurt¹^ORCID,Blumenfeld Jon D.¹^ORCID,Barash Irina¹^ORCID,Chicos Ines¹,Rennert Hanna¹,Prince Martin R.¹^ORCID

Affiliation:

1. From the Departments of Radiology (A.G., G.S., S.R., S.J., H.D., R.H., D.R., K.T., M.R.P.), Internal Medicine (J.D.B., I.B., I.C.), and Pathology and Laboratory Medicine (H.R.), Weill Cornell Medicine, 525 E 68th St, New York, NY 10021.

Funder

Shaw Foundation

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.210205

Reference19 articles.

1. Autosomal-dominant polycystic kidney disease (ADPKD): executive summary from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference

2. Increases in kidney volume in autosomal dominant polycystic kidney disease can be detected within 6 months

3. Renal structure in early autosomal-dominant polycystic kidney disease (ADPKD): The Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP) cohort1