R. Arun’s research while affiliated with Hindusthan Institute of Technology, Coimbatore and other places

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Publications (1)

Fig. 5. Accuracy analysis for SOMResNet in various Epoch Figure 6 illustrates the loss obtained by the SOMResNet algorithm. The experiment is carried out for N-Epochs. Initially the loss percentage is 1.0. After the number of iterations, the loss ratio is reduced. At
Fig. 6. Loss analysis for SOMResNet in various Epoch
Fig. 7. Falsely classified by CNN model D. Estimation of Execution Time Figure 8 depicts the execution time taken by the CNN+softmax, CNN+ReLU, CNN+DT, CNN+Tanh and SOMResNet algorithms. CNN+softmax algorithm takes 18s, CNN+ReLU takes 16s, CNN+DT takes 21s, CNN+Tanh taken 25s and the proposed SOMResNet algorithm takes 15s. From the experimentation results and analysis, it is more evident that the proposed algorithm detects the brain tumor accurately and with less false detection. Also, the execution time for the SOMResNet is only 15s which is lesser than the classical techniques.
Convolution Neural Network with Unsupervised Machine Learning Approach for Feature Extraction and Brain Tumor Detection in Human beings
  • Conference Paper
  • Full-text available

December 2023

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68 Reads

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1 Citation

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G. Uma Maheshwari

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R. Arun
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