Abstract
Hematoma is caused due to traumatic brain injuries. Automatic detection and classification system can assist the doctors for analyzing the brain images. This paper classifies the three types of hematomas in brain CT scan images using Support vector machine (SVM). The SVM has been simulated and trained according to the dataset. Trained SVM classifiers performances were compared on the basis of parameters, i.e., classification accuracy, mean square error, training time, and testing time. The classification process depends on the training dataset and results are based on simulation of the classifiers.
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Srivastava, D.K., Sharma, B., Singh, A. (2018). Classification of Hematomas in Brain CT Images Using Support Vector Machine. In: Mishra, D., Nayak, M., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Lecture Notes in Networks and Systems, vol 10. Springer, Singapore. https://doi.org/10.1007/978-981-10-3920-1_39
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DOI: https://doi.org/10.1007/978-981-10-3920-1_39
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