Machine Learning Diagnosis of Small-Bowel Crohn Disease Using T2-Weighted MRI Radiomic and Clinical Data-Reference-Cited by-同舟云学术

Machine Learning Diagnosis of Small-Bowel Crohn Disease Using T2-Weighted MRI Radiomic and Clinical Data

Published:2023-11-08 Issue: Volume: Page:1-10
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Liu Richard X.¹,Li Hailong¹²,Towbin Alexander J.¹,Ata Nadeen Abu¹,Smith Ethan A.¹,Tkach Jean A.¹,Denson Lee A.³,He Lili¹²,Dillman Jonathan R.¹²

Affiliation:

1. Department of Radiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Ave, Cincinnati, OH 45229.

2. Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.

3. Department of Pediatrics, Division of Gastroenterology, Hepatology, and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.

Publisher

American Roentgen Ray Society

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference35 articles.

1. Increasing Incidence and Prevalence of the Inflammatory Bowel Diseases With Time, Based on Systematic Review

2. The Prevalence and Geographic Distribution of Crohn’s Disease and Ulcerative Colitis in the United States

3. The Natural History of Adult Crohn's Disease in Population-Based Cohorts

4. The Mesenteric Fat and Intestinal Muscle Interface: Creeping Fat Influencing Stricture Formation in Crohn’s Disease

5. Inflammatory alterations in mesenteric adipose tissue in Crohn's disease

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