Digital Image Processing

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Certain Investigations on Lung Cancer Detection Techniques


Affiliations
1 Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam - 638 401, India
2 Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam - 638 401, India
3 e Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam - 638 401, India
     

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Lung cancer is proving to be a shattering threat to human-beings which is more common in people who used to smoke. Out of 100 different types of cancers observed in human body this is the third largest found cancer with less survival rate. Early detection of lung cancer can increase the chance of survival among people. Various image processing and soft computing techniques can be used to determine cancer cells from medical images. Most commonly CT-images are used for processing because of their high resolution, better clarity, low noise and distortions. This paper focuses on different techniques that have been proposed to provide detection of lung cancer.

Keywords

Lung Cancer, Image Processing, Histogram Equalization, Database, Enhancement, Smoothing, Classification.
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Abstract Views: 284

PDF Views: 4




  • Certain Investigations on Lung Cancer Detection Techniques

Abstract Views: 284  |  PDF Views: 4

Authors

K. Nirmalakumari
Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam - 638 401, India
A. S. Nivetha
Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam - 638 401, India
M. Sangeetha
e Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam - 638 401, India

Abstract


Lung cancer is proving to be a shattering threat to human-beings which is more common in people who used to smoke. Out of 100 different types of cancers observed in human body this is the third largest found cancer with less survival rate. Early detection of lung cancer can increase the chance of survival among people. Various image processing and soft computing techniques can be used to determine cancer cells from medical images. Most commonly CT-images are used for processing because of their high resolution, better clarity, low noise and distortions. This paper focuses on different techniques that have been proposed to provide detection of lung cancer.

Keywords


Lung Cancer, Image Processing, Histogram Equalization, Database, Enhancement, Smoothing, Classification.

References