This paper deals with automatic brain tumor de-tection in magnetic resonance images. The goal is to determinewhether the MR image of a brain contains a tumor. The proposedmethod works with T2-weighted magnetic resonance images,where the head is vertically aligned. The detection is basedon checking the left-right symmetry of the brain, which is theassumption for healthy brain. The algorithm was tested by five-fold cross-validation technique on 72 images of brain containingtumors and 131 images of healthy brain. The proposed methodreaches the true positive rate of 91.16% and the true negativerate of 94.68%.


Dvorak, P., Kropatsch, W., & Bartusek, K. (2013). Automatic Detection of Brain Tumors in MR Images. In Proceedings of the 36th International Conference on Telecommunications and Signal Processing (TSP) (pp. 577–580). http://hdl.handle.net/20.500.12708/54763