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Pattern classification of interstitial lung diseases from computed tomography images using a ResNet-based network with a split-transform-merge strategy and split attention

Crossref DOI link: https://doi.org/10.1007/s13246-024-01404-1

Published Online: 2024-03-04

Published Print: 2024-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Chen, Jian-Xun

Shen, Yu-Cheng

Peng, Shin-Lei

Chen, Yi-Wen

Fang, Hsin-Yuan

Lan, Joung-Liang

Shih, Cheng-Ting https://orcid.org/0000-0002-8554-9136
Funding

Funding for this research was provided by:

China Medical University (CMU109-MF-121)

National Science and Technology Council (MOST 109-2314-B-039-057)
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Text and Data Mining valid from 2024-03-04

Version of Record valid from 2024-03-04
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Article History

Received: 8 September 2023

Accepted: 9 February 2024

First Online: 4 March 2024

Declarations

:

: The authors declare that they have no competing interests.

: This retrospective study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Institutional Review Board (CSMUH No: CS1-20116). The need for informed consent was waived by the Institutional Review Board because of the retrospective use of the anonymized image data in the study.

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