A Proof-of-Concept Study of Artificial Intelligence–assisted Contour Editing-Reference-Cited by-同舟云学术

A Proof-of-Concept Study of Artificial Intelligence–assisted Contour Editing

Published:2022-09-01 Issue:5 Volume:4 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Bai Ti¹^ORCID,Balagopal Anjali¹^ORCID,Dohopolski Michael¹^ORCID,Morgan Howard E.¹,McBeth Rafe¹^ORCID,Tan Jun¹,Lin Mu-Han¹,Sher David J.¹^ORCID,Nguyen Dan¹^ORCID,Jiang Steve¹^ORCID

Affiliation:

1. From the Department of Radiation Oncology, University of Texas Southwestern Medical Center, 2201 Inwood Rd, Dallas, TX 75390-9187 (T.B., A.B., M.D., H.E.M., J.T., M.H.L., D.J.S., D.N., S.J.); and Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pa (R.M.).

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.210214

Reference13 articles.

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5. UNet++: A Nested U-Net Architecture for Medical Image Segmentation

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