ABSTRACT
This project gives an overview of the method of detecting prostate cancer by associating Region of interest segmentation method with Support Vector Machine. Prostate cancer is commonly prevalent carcinoma detected in most of the male population. A diagnosis of prostate cancer was complicated due to unclear symptoms and involves many procedures. One of these procedures involves the study of prostate tissue biopsy to find cancer affected region. However, no boundary specified region was considered for further studies. Recent developmental techniques in the medical imaging field, especially in SVM, have paved the way for prostate carcinoma detection. The MRI image of the prostate gland is pre-processed to reduce noise effects and Region of interest is obtained with the svm and segmentation is done. The core idea of this project is to assume that every region of prostate tissue could be related to malignant or unnatural tissues.
PROJECT OUTPUT
PROJECT VIDEO
Contact:
Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +91-7276355704
Email: roshanphelonde@rediffmail.com
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