Diagnosis of focal liver lesions with deep learning-based multi-channel analysis of hepatocyte-specific contrast-enhanced magnetic resonance imaging-Reference-Cited by-同舟云学术

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Diagnosis of focal liver lesions with deep learning-based multi-channel analysis of hepatocyte-specific contrast-enhanced magnetic resonance imaging

Published:2021-09-21 Issue:35 Volume:27 Page:5978-5988
ISSN:1007-9327
Container-title:World Journal of Gastroenterology
language:
Short-container-title:WJG

Author:

Stollmayer Róbert,Budai Bettina K,Tóth Ambrus,Kalina Ildikó,Hartmann Erika,Szoldán Péter,Bérczi Viktor,Maurovich-Horvat Pál,Kaposi Pál N

Publisher

Baishideng Publishing Group Inc.

Subject

Gastroenterology,General Medicine

Reference24 articles.

1. Workload of Radiologists in United States in 2006–2007 and Trends Since 1991–1992

2. Artificial intelligence in cancer imaging: Clinical challenges and applications

3. Detection of Hepatocellular Carcinoma in Contrast-Enhanced Magnetic Resonance Imaging Using Deep Learning Classifier: A Multi-Center Retrospective Study

4. 3D Deep Learning on Medical Images: A Review

5. Convolutional Networks with Dense Connectivity

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1. Artificial intelligence in hepatocellular carcinoma diagnosis: a comprehensive review of current literature;Journal of Gastroenterology and Hepatology;2024-06-23

2. Deep Learning–Based Approach for Identifying and Measuring Focal Liver Lesions on Contrast‐Enhanced MRI;Journal of Magnetic Resonance Imaging;2024-06-03

3. A combined model based on radiomics features of Sonazoid contrast-enhanced ultrasound in the Kupffer phase for the diagnosis of well-differentiated hepatocellular carcinoma and atypical focal liver lesions: a prospective, multicenter study;Abdominal Radiology;2024-05-14

4. Applications of Artificial Intelligence in liver cancer: a scoping review – part I, screening and diagnosis. (Preprint);2024-02-25

5. Artificial Intelligence in Liver Diseases: Recent Advances;Advances in Therapy;2024-01-29

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