Application Of Dynamic Segmentation In Stroke Detection Software With ANN

  • Hastie Audytra Universitas Nadhlatul Ulama Sunan Giri Bojonegoro
  • Julian Supardi Universitas Sriwijaya
  • Abdiansah Abdiansah Universitas Sriwijaya


One way to find out whether there is a stroke is to do a CT scan . But the results of the examination with a new CT scan can be obtained in quite a long time. In addition, sometimes there are differences of opinion between doctors and radiologists regarding what is seen from the results of the examination. This research was conducted to produce a software that can later be integrated with the existing system on the CT Scan tool so that it can immediately be known whether or not stroke is present from the CT Scan results. In this study, a dynamic image segmentation method is implemented, namely the watershed transformation method which will later produce regions as a feature for the stroke detection process carried out with the backpropagation algorithm. From experiments conducted on CT scan images of the brain, this method can detect stroke well. The results obtained are 100% for training data and 90% for test data.


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How to Cite
Audytra, H., Supardi, J., & Abdiansah, A. (2022). Application Of Dynamic Segmentation In Stroke Detection Software With ANN. IJNMT (International Journal of New Media Technology), 8(2), 109-114.