Right Ventricle Segmentation of Magnetic Resonance Image Using the Modified Convolutional Neural Network

Author:

Dharwadkar Nagaraj V.ORCID,Savvashe Amruta K.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference23 articles.

1. World Health Organization: Cardiovascular disease. Retrieved from World Health Organization: https://www.who.int/cardiovascular_diseases/about_cvd/en (2019)

2. Vision X-ray group: Retrieved from the importance of medical imaging: https://www.xray.com.au/importance-of-medical-imaging/ (2013, November 15)

3. Magnetic Resonance Imaging: Retrieved from Main Line Health. https://www.mainlinehealth.org/conditions-and-treatments/treatments/magnetic-resonance-imaging (2019)

4. Shankar, V.; Kumar, V.; Devagade, U., et al.: Heart disease prediction using CNN algorithm. SN Comput. Sci. 1, 170 (2020). https://doi.org/10.1007/s42979-020-0097-6

5. Cois, A.; Galeotti, J.; Tamburo, R.; Sacks, M.; Stetten, G.: Shells and spheres: an n-dimensional framework for medial-based image segmentation. Int. J. Biomed. Imaging 2010, 980872 (2010). https://doi.org/10.1155/2010/980872

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