An Intelligent and Green E-healthcare Model for an Early Diagnosis of Medical Images as an IoMT Application
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-23210-7_16
Reference12 articles.
1. Andriopoulou, F., Dagiuklas, T., Orphanoudakis, T.: Integrating IoT and fog computing for healthcare service delivery. In: Components and Services for IoT Platforms, pp. 213–232. Springer, Heidelberg (2017)
2. Kashani, M.H., et al.: A systematic review of IoT in healthcare: applications, techniques, and trends. J. Netw. Comput. Appl., 103164 (2021)
3. Suresh, A., Udendhran, R., Balamurgan, M., Varatharajan, R.: A novel Internet of Things framework integrated with real time monitoring for intelligent healthcare environment. J. Med. Syst. 43(6), 1 (2019). https://doi.org/10.1007/s10916-019-1302-9
4. Khan, S.R., et al.: IoMT-based computational approach for detecting brain tumor. Futur. Gener. Comput. Syst. 109, 360–367 (2020)
5. Palani, D., Venkatalakshmi, K.: An IoT based predictive modelling for predicting lung cancer using fuzzy cluster based segmentation and classification. J. Med. Syst. 43(2), 1–12 (2019)
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