Open AccessCancer Cell Detection in Bone Using ANN
Author(s) -
Mrs. R. Kavitha,
N. Viswanathan
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-2331
Subject(s) - artificial intelligence , computer science , preprocessor , segmentation , pattern recognition (psychology) , feature extraction , edge detection , cancer , categorization , identification (biology) , cancer detection , artificial neural network , image segmentation , image processing , medicine , image (mathematics) , botany , biology
A vigorous disease is bone cancer results in deaths of many people. The identification and classification system must be done at its early stage to diagnose. The early detection plays an important role to safe guard the patient from death. And also cancer categorization is one of the toughest tasks in clinical analysis. This paper deals with MR images of various patients used to identify the tumor and classify cancer using Artificial Neural Network algorithm. The proposed methodology uses filtering as preprocessing techniques followed by gray conversion and other image processing methods like edge detection, morphological operation, segmentation, feature extraction and classification are prepared for the identification of bone cancer. By this method time required is reduced for identification and classification of bone cancer.