A Domain-Shift Invariant CNN Framework for Cardiac MRI Segmentation Across Unseen Domains-Reference-Cited by-同舟云学术

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A Domain-Shift Invariant CNN Framework for Cardiac MRI Segmentation Across Unseen Domains

Published:2023-07-10 Issue:5 Volume:36 Page:2148-2163
ISSN:1618-727X
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Patil Sanjeet S.,Ramteke Manojkumar,Verma Mansi,Seth Sandeep,Bhargava Rohit,Mittal Shachi,Rathore Anurag S.^ORCID

Funder

Department of Biotechnology, Ministry of Science and Technology, India

H2020 Public-public partnerships

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://link.springer.com/content/pdf/10.1007/s10278-023-00873-2.pdf

Reference40 articles.

1. Z. Yan et al., “SegNet-based left ventricular MRI segmentation for the diagnosis of cardiac hypertrophy and myocardial infarction,” Comput Methods Programs Biomed, vol. 227, p. 107197, Dec. 2022, https://doi.org/10.1016/J.CMPB.2022.107197.

2. “cardiovascular diseases (CVDs).” https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) (accessed Nov. 05, 2022).

3. O. Attallah and D. A. Ragab, “Auto-MyIn: Automatic diagnosis of myocardial infarction via multiple GLCMs, CNNs, and SVMs,” Biomed Signal Process Control, vol. 80, p. 104273, Feb. 2023, https://doi.org/10.1016/J.BSPC.2022.104273.

4. X. Liu, Z. Deng, and Y. Yang, “Recent progress in semantic image segmentation,” Artif Intell Rev, vol. 52, no. 2, pp. 1089–1106, Sep. 2018, https://doi.org/10.1007/s10462-018-9641-3.

5. V. M. Campello et al., “Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The MMs Challenge,” IEEE Trans Med Imaging, vol. 40, no. 12, pp. 3543–3554, Dec. 2021, https://doi.org/10.1109/TMI.2021.3090082.

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