An algorithmic detection of brain tumour using image filtering and segmentation of various radiographs


Cancer as a disease has taken the form of an epidemic for human beings. This work processes radiograph CT and MRI images to perform detection of brain tumour using a hybrid algorithm based on image processing and segmentation. The database taken is from Google open source brain scans and the system has been developed on MATLAB v2019 for Windows. Section I reviews image processing for medical imaging and Section II reviews associated state-of-art literature. Section III details the proposed system. An engineering analysis is detailed in Section IV; a sensitivity of 100%, similarity of 89.66% and accuracy of 87.50% is achieved for the algorithm. This work proposes to develop a cost-effective system accessible to medical practitioners on everyday computers.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL