Open AccessA New Image Processing Technique for Medical Image Analysis
Author(s) -
Sutanu Ghosh
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.37628
Subject(s) - sobel operator , confusion matrix , artificial intelligence , computer science , pattern recognition (psychology) , confusion , image (mathematics) , image processing , correlation coefficient , enhanced data rates for gsm evolution , edge detection , machine learning , psychology , psychoanalysis
In this communication, we report identification of lung cancer with the help of a new image processing technique. To start with, we compare the results obtained from our proposed method with those obtained from the original Sobel edge detection method. The comparison is done by creating a confusion matrix and considering various parameters such as True Positive, True Negative, False Positive, False Negative, Accuracy, Misclassification Rate, Precision, Recall, Specificity, F Score, Matthews Correlation Coefficient (MCC), F Measurement (FM), Z score, T Score, and P Score. Our proposed method gives better total accuracy than the normal Sobel edge detector. Keywords: Neural network, statistical learning, edge filters, deep learning, image processing