%0 Journal Article %1 noauthororeditor %A Kyaw, Myat Mon %D 2013 %J International Journal of Computational Science and Information Technology (IJCSITY) %K CT, Hemorrhage, Infarct Medical imaging, %N 1 %P 1- 6 %T Computer-Aided Detection system for Hemorrhage contained region %U http://airccse.org/journal/ijcsity/papers/1113ijcsity02.pdf %V 1 %X This paper aims to introduce the automated method to detect and classify an abnormality (hemorrhage) of stroke in brain CT image. Initially, the image is pre-processed to remove film artifacts and skull region. Before the abnormality region is segmented, the image is pre-segmented. In this stage, the image is subdivided into four regions to find the region that has the possibility for inclusion of abnormal areas. Thus, the unnecessary regions are no need to search and segment. This paper proposes pre-segmentation steps for the detection of abnormal region in brain image. Then, abnormalities can be segmented by grouping homogeneous regions according to the predefined criteria. The accuracy of the segmentation results can be assessed by the specialist.

@article{noauthororeditor, abstract = {This paper aims to introduce the automated method to detect and classify an abnormality (hemorrhage) of stroke in brain CT image. Initially, the image is pre-processed to remove film artifacts and skull region. Before the abnormality region is segmented, the image is pre-segmented. In this stage, the image is subdivided into four regions to find the region that has the possibility for inclusion of abnormal areas. Thus, the unnecessary regions are no need to search and segment. This paper proposes pre-segmentation steps for the detection of abnormal region in brain image. Then, abnormalities can be segmented by grouping homogeneous regions according to the predefined criteria. The accuracy of the segmentation results can be assessed by the specialist. }, added-at = {2020-01-30T10:05:38.000+0100}, author = {Kyaw, Myat Mon}, biburl = {https://www.bibsonomy.org/bibtex/28e47b811939b7dd10e2b8a88cbe50e32/anderson_sam}, interhash = {a7c044628f569d9d0ad9c3f830e74f0c}, intrahash = {8e47b811939b7dd10e2b8a88cbe50e32}, journal = {International Journal of Computational Science and Information Technology (IJCSITY) }, keywords = {CT, Hemorrhage, Infarct Medical imaging,}, month = {February}, number = 1, pages = {1- 6}, timestamp = {2020-01-30T10:05:38.000+0100}, title = {Computer-Aided Detection system for Hemorrhage contained region }, url = {http://airccse.org/journal/ijcsity/papers/1113ijcsity02.pdf}, volume = 1, year = 2013 }