一种用于检测癌细胞的肺结节分类方法

2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS) Pub Date : 2019-03-01 DOI:10.1109/ICACCS.2019.8728332

Jayshree Talukdar, P. Sarma

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引用次数: 1

摘要

本文主要对人肺的癌细胞和非癌细胞进行分类，并进一步将其分为良性和恶性。利用感兴趣区域(ROI)和支持向量机的区域特征进行分类，并利用CLAHE作为增强技术。本文主要研究了支持向量机对肺结节的分类。

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An Approach to Classify Lung Nodules for Detection of Cancer Cells

In this paper we are mainly classifying cancerous or non-cancerous cells of human lung which was further classified into which category it falls benign or malignant. Area feature from region of interest (ROI) and Support Vector Machine is applied for classification and CLAHE as an enhancement technique. This paper concentrated on classification of lung nodules by Support Vector Machine technique.

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2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)

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