Open AccessSpotting Brain and Pancreatic Tumor Identification Through SRM Segmentation and Naive Bayes Method
Author(s) -
Divya Reddy,
T. Arun Prasath,
M. Pallikonda Rajasekaran,
G. Vishnuvarthanan
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d1076.1284s219
Subject(s) - segmentation , artificial intelligence , histogram , feature (linguistics) , naive bayes classifier , computer science , image (mathematics) , magnetic resonance imaging , identification (biology) , spotting , pattern recognition (psychology) , modalities , image segmentation , medicine , computer vision , radiology , biology , linguistics , botany , sociology , support vector machine , social science , philosophy
Imaging techniques empower researchers and medical practitioners to evaluate disorders and activities inside the human brain and pancreases earlier than performing invasive surgery. Amid sundry medical image modalities, magnetic resonance imaging dispenses utmost preferred contrast information about brain tissues from a diversity of excitation sequences. Therefore, remedy forethought is a key to the midway to recover grace lifespan of oncological patients. Here proposed work through brain image and pancreases image with respective MR image and CT scan image through filters DBCWMF and histogram equation, Segmentation with SRM and extracted Feature GLCM and Naive Bayes approach with hospital database and TCIA database..