Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis-Reference-Cited by-同舟云学术

Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis

Published:2023-09 Issue: Volume: Page:
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Liang Dan,Fan Yaheng,Zeng Yinghou,Zhou Hui,Zhou Hong,Li Guangming,Liang Yingying,Zhong Zhangnan,Chen Dandan,Chen Amei,Li Guanwei,Deng Jinhe,Huang Bingsheng,Wei Xinhua^ORCID

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference34 articles.

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4. Treatment of acute uncomplicated appendicitis;Talan;N Engl J Med,2021

5. Diagnosis and management of acute appendicitis in adults: a review;Moris;JAMA,2021

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1. A Novel Deep Learning Approach for the Automatic Diagnosis of Acute Appendicitis;Journal of Clinical Medicine;2024-08-22

2. Artificial intelligence in the diagnosis and treatment of acute appendicitis: a narrative review;Updates in Surgery;2024-03-12

3. Deep learning-based radiomics model from pretreatment ADC to predict biochemical recurrence in advanced prostate cancer;Frontiers in Oncology;2024-02-27

4. Combination of clinical information and radiomics models for the differentiation of acute simple appendicitis and non simple appendicitis on CT images;Scientific Reports;2024-01-22