SVM Model based Computerized Bone Cancer Detection
Bhukya Jabber, M. Shankar, P. V. S. Rama Rao, Azmira Krishna, CMAK Zeelan Basha
20202020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)28 citationsDOI
Abstract
Among the many types of cancers, bone cancer is one with which most of the deaths occur in the world. Around 10000 deaths are occurring in a year in India due to bone cancer. Bone cancer is the most dangerous and deaths can be avoided if it is detected in the early stage. Here, an automatic bone cancer detection system is proposed to aid the oncologists in early detection of bone cancers and helps them to undergo a timely treatment. Support Vector Machine (SVM) based M3 filtered and Fuzzy C-Means (FCM) segmentation method is proposed to detect the bone cancers. An accuracy of about 92% is achieved with the proposed method.
Topics & Concepts
Support vector machineCancerBone cancerSegmentationComputer scienceCancer detectionFuzzy logicArtificial intelligencePattern recognition (psychology)MedicineInternal medicineBrain Tumor Detection and ClassificationMedical Imaging and AnalysisDigital Imaging for Blood Diseases