IIMFCBM: Intelligent Integrated Model for Feature Extraction and Classification of Brain Tumors Using MRI Clinical Imaging Data in IoT-Healthcare

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Abstract
Accurate classification of brain tumors is vital for detecting brain cancer in the Medical Internet of Things. Detecting brain cancer at its early stages is a tremendous medical problem, and many researchers have proposed various diagnostic systems; however, these systems still do not effectively detect brain cancer. To address this issue, we proposed an automatic diagnosing framework that will assist medical experts in diagnosing brain cancer and ensuring proper treatment. In developing the proposed integrated framework, we first integrated a Convolutional Neural Networks model to extract deep features from Magnetic resonance imaging. The extracted features are forwarded to a Long Short Term Memory model, which performs the final classification. Augmentation techniques were applied to increase the data size, thereby boosting the performance of our model. We used the hold-out Cross-validation technique for training and validating our method. In addition, we used various metrics to evaluate the proposed model. The results obtained from the experiments show that our model achieved higher performance than previous models. The proposed model is strongly recommended to be used to diagnose brain cancer in Medical Internet of Things healthcare systems due to its higher predictive outcomes.
Funding Information
  • National Natural Science Foundation of China (61370073)
  • National High Technology Research and Development Program of China
  • Science and Technology Department of Sichuan Province (2021YFG0322)
  • Science and Technology Department of Chongqing Municipality
  • Chongqing Municipal Education Commission (KJZD-K202114401)
  • Chongqing Qinchengxing Technology Company, Ltd.
  • Chengdu Haitian Digital Technology Company, Ltd.
  • Chengdu Chengdian Network Technology Company, Ltd.
  • Chengdu Civil-military Integration Project Management Company, Ltd.
  • Sichuan Yin Ten Gu Technology Company, Ltd.

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