44 7460 854 031

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.


Lung Lesion Parenchyma Segmentation Algorithm for CT Images

Author(s): R. Indumathi*, R. Haripriya and S. Akshaya

Segmentation is a precursor for most medical image analysis and classification in Computer Aided Diagnosis (CAD). The CAD of lung CT generally segments the area of interest (lesions), which enables the physician to diagnose the disease. This project presents a fully automatic algorithm for segmenting the lung lesion parenchyma. It is based on Threshold processing and Mathematical Morphology, where Threshold is done by Absolute Threshold Value Binarization and Boundary Detect Algorithm. Further Mathematical Morphology is done by Lung Parenchyma Repair Algorithm, based on horizontal scanning which repairs the lung parenchyma boundary more accurately. Finally, it uses area property of the connected components for separating the cancerous cells (lesions) from non-cancerous tissues.

Share this       
Google Scholar citation report
Citations : 4955

International Journal of Chemical Sciences received 4955 citations as per Google Scholar report

Indexed In

  • Google Scholar
  • Open J Gate
  • China National Knowledge Infrastructure (CNKI)
  • Cosmos IF
  • Geneva Foundation for Medical Education and Research

Read More

Global Tech Summit
Yeni acilan ve cok kazancli olan Matadorbet guncel giris yapip uyelik gerceklestirebilirsiniz.