Abstract
Mobile telemedicine system provides the facility of exchanging medical information from one location to another with information and communication technology. This work aims to review the performance analysis techniques implemented in a mobile telemedicine system for managing high-resolution medical imaging in order to improve the flexibility and accuracy of healthcare services. In this secondary review analysis, journal articles focused on high-resolution imaging and mobile telemedicine systems were reviewed. It was observed from this study that performance analysis of the high-resolution medical images provides efficient transparency as well as robustness in the information transmission.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Alli, A., Alam, M.: The fog cloud of things: a survey on concepts, architecture, standards, tools, and applications. Internet Things 9, 100177 (2020). https://doi.org/10.1016/j.iot.2020.100177. Accessed 1 Feb 2021
Hameed, M., Ibrahim, M., Manap, N., Mohammed, A.: A lossless compression and encryption mechanism for remote monitoring of ECG data using Huffman coding and CBC-AES. Future Gener. Comput. Syst. 111, 829–840 (2020). https://doi.org/10.1016/j.future.2019.10.010. Accessed 1 Feb 2021
Liu, Y., et al.: Robust spiking cortical model and total-variational decomposition for multimodal medical image fusion. Biomed. Signal Process. Control 61, 101996 (2020). https://doi.org/10.1016/j.bspc.2020.101996. Accessed 1 Feb 2021
Sabol, P., et al.: Explainable classifier for improving the accountability in decision-making for colorectal cancer diagnosis from histopathological images. J. Biomed. Inform. 109, 103523 (2020). https://doi.org/10.1016/j.jbi.2020.103523. Accessed 1 Feb 2021
Liu, L., Cheng, J., Quan, Q., Wu, F., Wang, Y., Wang, J.: A survey on U-shaped networks in medical image segmentations. Neurocomputing 409, 244–258 (2020). https://doi.org/10.1016/j.neucom.2020.05.070. Accessed 1 Feb 2021
Swaraja, K., Meenakshi, K., Kora, P.: An optimized blind dual medical image watermarking framework for tamper localization and content authentication in secured telemedicine. Biomed. Signal Process. Control 55, 101665 (2020). https://doi.org/10.1016/j.bspc.2019.101665. Accessed 1 Feb 2021
Chen, J., et al.: Medical image segmentation and reconstruction of prostate tumor based on 3D AlexNet. Comput. Methods Programs Biomed. 200, 105878 (2020). https://doi.org/10.1016/j.cmpb.2020.105878. Accessed 1 Feb 2021
Karani, N., Erdil, E., Chaitanya, K., Konukoglu, E.: Test-time adaptable neural networks for robust medical image segmentation. Med. Image Anal. 68, 101907 (2021). https://doi.org/10.1016/j.media.2020.101907. Accessed 1 Feb 2021
Wen, T., et al.: Multiswarm Artificial Bee Colony algorithm based on spark cloud computing platform for medical image registration. Comput. Methods Programs Biomed. 192, 105432 (2020). https://doi.org/10.1016/j.cmpb.2020.105432. Accessed 1 Feb 2021
Li, H., et al.: Edge detection of heterogeneity in transmission images based on frame accumulation and multiband information fusion. Chemometr. Intell. Lab. Syst. 204, 104117 (2020). https://doi.org/10.1016/j.chemolab.2020.104117. Accessed 1 Feb 2021
Zhang, J., et al.: Interactive medical image segmentation via a point-based interaction. Artif. Intell. Med. 111, 101998 (2021). https://doi.org/10.1016/j.artmed.2020.101998. Accessed 1 Feb 2021
Urbaniak, I., Wolter, M.: Quality assessment of compressed and resized medical images based on pattern recognition using a convolutional neural network. Commun. Nonlinear Sci. Numer. Simul. 95, 105582 (2021). https://doi.org/10.1016/j.cnsns.2020.105582. Accessed 1 Feb 2021
He, Q., et al.: Feasibility study of a multi-criteria decision-making based hierarchical model for multi-modality feature and multi-classifier fusion: applications in medical prognosis prediction. Inf. Fusion 55, 207–219 (2020). https://doi.org/10.1016/j.inffus.2019.09.001. Accessed 1 Feb 2021
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Khalid, F., Parsad, P.W.C., Nizamani, Q.U.A., Costadopoulos, N., Ahmed, N.S., Alrubaie, A. (2022). Review of Performance Analysis Technique of High-Resolution Imaging in Mobile Telemedicine System. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the ICR’22 International Conference on Innovations in Computing Research. ICR 2022. Advances in Intelligent Systems and Computing, vol 1431. Springer, Cham. https://doi.org/10.1007/978-3-031-14054-9_14
Download citation
DOI: https://doi.org/10.1007/978-3-031-14054-9_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-14053-2
Online ISBN: 978-3-031-14054-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)