Automated Deep Learning Artificial Intelligence Tool for Spleen Segmentation on CT: Defining Volume-Based Thresholds for Splenomegaly-Reference-Cited by-同舟云学术

Automated Deep Learning Artificial Intelligence Tool for Spleen Segmentation on CT: Defining Volume-Based Thresholds for Splenomegaly

Published:2023-11 Issue:5 Volume:221 Page:611-619
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Perez Alberto A.¹²,Noe-Kim Victoria¹,Lubner Meghan G.¹,Somsen David¹,Garrett John W.¹,Summers Ronald M.³,Pickhardt Perry J.¹

Affiliation:

1. Department of Radiology, The University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252.

2. Mallinckrodt Institute of Radiology, St. Louis, MO.

3. Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology, and Imaging Sciences, NIH Clinical Center, Bethesda, MD.

Publisher

American Roentgen Ray Society

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference22 articles.

1. Splenomegaly: Investigation, diagnosis and management

2. Splenomegaly

3. Spleen Size Is Significantly Influenced by Body Height and Sex: Establishment of Normal Values for Spleen Size at US with a Cohort of 1200 Healthy Individuals

4. The spleen in Hodgkin disease: diagnostic value of CT.

5. Volume determinations using computed tomography

Cited by 3 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. The impact of hepatic and splenic volumetric assessment in imaging for chronic liver disease: a narrative review;Insights into Imaging;2024-06-18

2. Adjusting for the effect of IV contrast on automated CT body composition measures during the portal venous phase;Abdominal Radiology;2024-05-15

3. Editor's Notebook: November 2023;American Journal of Roentgenology;2023-11