Machine Learning-based Lung Cancer Image Classification using GLCM and LBP Features

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.8 · Issue 4

Published

November 2019

Access

Open Access

Licence

CC BY-NC-SA 4.0

Jaydeep Trivedi Ankita Bhargava Dr. Prashant Sharma

Most of the models for lung cancer classification based on lung cancer images are various types of the classification model with binarization image pre-processing. This research work proposes a method based on random forest classifier for lung cancer image classification from the given database images. Feature extraction of the image is accomplished using LBP (Local Binary Pattern) and GLCM (Grey Level Co-occurrence Matrix). Then the extracted features are classified by the Random forest classifier. This work provides the confusion matrix with sensitivity, specificity, and accuracy for LBP, GLCM, and Hybrid (LBP+GLCM) based approaches.

GLCM LBP Lung Cancer SCLC NSCLC

Jaydeep Trivedi, Ankita Bhargava, Dr. Prashant Sharma (2019). Machine Learning-based Lung Cancer Image Classification using GLCM and LBP Features. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.8, Issue 4. ISSN: 2319-4863.

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