CT Evaluation of 2D and 3D Holistic Deep Learning Methods for the Volumetric Segmentation of Airway Lesions-Reference-Cited by-同舟云学术

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CT Evaluation of 2D and 3D Holistic Deep Learning Methods for the Volumetric Segmentation of Airway Lesions

Published:2024-05-27 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Bouzid Amel Imene Hadj¹,De Senneville Baudouin Denis²,Baldacci Fabien³,Desbarats Pascal³,Berger Patrick¹,Benlala Ilyes⁴,Dournes Gaël⁴

Affiliation:

1. Univ. Bordeaux,INSERM, CRCTB, U 1045,Bordeaux,France,F-33000

2. Univ. Bordeaux,CNRS, Bordeaux INP, IMB, UMR 5251,Talence,France,F-33400

3. Univ. Bordeaux,CNRS, Bordeaux INP, LaBRI, UMR 5800,Talence,France,F-33400

4. CHU de Bordeaux,Service d’Imagerie Médicale Radiologie Diagnostique et Thérapeutique,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635201.pdf?arnumber=10635201

Reference16 articles.

1. Artificial intelligence in diagnostic and interventional radiology: Where are we now?

2. Quantitative CT Scan Imaging of the Airways for Diagnosis and Management of Lung Disease

3. Reproducibility of a Scoring System for Computed Tomography Scanning in Cystic Fibrosis

4. Time to get serious about the detection and monitoring of early lung disease in cystic fibrosis

5. Artificial intelligence in CT for quantifying lung changes in the era of CFTR modulators

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