A low resource 3D U-Net based deep learning model for medical image analysis-Reference-Cited by-同舟云学术

A low resource 3D U-Net based deep learning model for medical image analysis

Published:2022-01-05 Issue:1 Volume:14 Page:95-103
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Chetty Girija,Yamin Mohammad^ORCID,White Matthew

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-021-00850-4.pdf

Reference12 articles.

1. Chetty G. Singh M, White M (2019) Automatic brain image analysis based on multimodal deep learning scheme. In: Rhee PK, Hwa K-Y, Pai T-W, Howard D, Bashar R (eds), Proceedings—2019 international conference on machine learning and data engineering (iCMLDE 2019) [8995755]. IEEE, Institute of Electrical and Electronics Engineers, pp 97–100. https://doi.org/10.1109/iCMLDE49015.2019.00028

2. Alharbi A, Halikias G, Yamin M et al (2021) Web-based framework for smart parking system. Int J Inf Technol. https://doi.org/10.1007/s41870-021-00725-8

3. Yamin M (2020) Counting the cost of COVID-19. Int J Inf Technol 12:311–317. https://doi.org/10.1007/s41870-020-00466-0

4. Sen AA, Yamin M (2020) Advantages of using fog in IoT applications. Int J Inf Technol. https://doi.org/10.1007/s41870-020-00514-9

5. Yamin M (2018) IT applications in healthcare management: a survey. Int J Inf Technol 10(4):503–509. https://doi.org/10.1007/s41870-018-0203-3

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