Deep-Learning, Radiomics and Clinic Based Fusion Models for Predicting Response to Infliximab in Crohn’s Disease Patients: A Multicentre, Retrospective Study
Weimin Cai,1,* Xiao Wu,1,* Kun Guo,2 Yongxian Chen,3 Yubo Shi,4 Xinran Lin1 1Department of Gastroenterology and Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China; 2Department of Cardiology, the First Affiliated H...
Saved in:
Main Authors: | Cai W (Author), Wu X (Author), Guo K (Author), Chen Y (Author), Shi Y (Author), Lin X (Author) |
---|---|
Format: | Book |
Published: |
Dove Medical Press,
2024-10-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Profile of infliximab in the treatment of pediatric Crohn’s disease
by: Kierus J, et al.
Published: (2015) -
A Novel Clinical Radiomics Nomogram to Identify Crohn’s Disease from Intestinal Tuberculosis
by: Zhu C, et al.
Published: (2021) -
FPR1, as a Potential Biomarker of Diagnosis and Infliximab Therapy Responses for Crohn’s Disease, is Related to Disease Activity, Inflammation and Macrophage Polarization
by: Ye C, et al.
Published: (2024) -
Development and Validation of an Interleukin-6 Nomogram to Predict Primary Non-response to Infliximab in Crohn's Disease Patients
by: Yueying Chen, et al.
Published: (2021) -
Loss of Response to Long-Term Infliximab Therapy in Children with Crohn's Disease
by: George Alex, et al.
Published: (2013)