Bone Cancer Detection Using Feature Extraction with Classification Using K-Nearest Neighbor and Decision Tree Algorithm

Author:

Satheesh Kumar, B 1,Sathiyaprasad. B 1

Affiliation:

1. Research Scholar, Dept of CSE, Annamalai University, India

Abstract

The malignant cells that cannot be controlled from spreading throughout the body is Cancer. Among which the cancer occurs in bone is their type. It is malignant disease occur in bone of human body where their growth cant be controlled from growing. This bone cancer is very critical of all the cancer types since the malignant cells are not identified at their earlier stage and it is the major challenge. Bone cancer is highly common for children and teenagers. For earlier detection of this cancer the correlation of medical imaging has been adapted with image processing and machine learning techniques where maximum accuracy can be obtained similarly even for bone cancer. This paper proposes the detection of bone cancer from the dataset taken from clinical dataset. Here the proposed design comprises of 2 phases in predicting the disorder with higher accuracy. The first stage is extracting the feature of segmented bone image using Gray-Level Co-occurrence Matrix (GLCM) method is applied to extract the features in terms of statistical texture-based and the second phase is classification of extracted feature using K-NN with decision tree algorithm. The simulation results show the enhanced classification results and extracted output with higher accuracy.

Publisher

IOS Press

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CBCD: Comprehensive Analysis for Bone Cancer Diagnosis through MRI Imaging;2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU);2024-03-01

2. An Approach to Recognise Lung Diseases Using Segmentation and Classification;Measurement Science Review;2023-11-17

3. Bone metastasis detection method based on improving golden jackal optimization using whale optimization algorithm;Scientific Reports;2023-09-12

4. Bone Cancer Detection techniques using Machine Learning;2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO);2022-12

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