Open AccessDetection of Breast Cancer in the Bio Medical Image using Supervised Machine Learning
Author(s) -
E. Karthikeyan*,
Singanallur Venkatakrishnan
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7542.129219
Subject(s) - artificial intelligence , computer science , machine learning , image processing , feature extraction , image segmentation , pattern recognition (psychology) , feature detection (computer vision) , supervised learning , segmentation , contextual image classification , image (mathematics) , automatic image annotation , feature (linguistics) , breast cancer , computer vision , cancer , medicine , artificial neural network , linguistics , philosophy
The detection of disease for diagnosis in the medical image becomes easier, when the machine learning concept is used. In this article, the Breast cancer is detected from the biomedical image using supervised machine learning technique. The bio medical image is acquired from the image sensors and that acquired image is pre processed for further processing. From that pre-processed image, the object detection is performed. The next processes are segmentation and feature extraction. Finally, the supervised learning is implemented in the image for image classification. With the help of machine learning, the different cases of cells are also detected, differentiated and spotted for the further diagnosis