A Comparative Analysis of Image Segmentation Techniques Toward Automatic Risk Prediction of Solitary Pulmonary Nodules

  • Jhilam Mukherjee
  • Soharab Hossain Shaikh
  • Madhuchanda Kar
  • Amlan Chakrabarti
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 395)


Lung cancer is considered as a leading cause of death throughout the globe. Manual interpretation of cancer detection is time consuming and thus increases the death rate. With the help of improvement in medical imaging technology, a computer-aided diagnostics system could be an aid to combat this disease. Automatic segmentation of a region of interest is one of the most challenging problem in medical image analysis. An inaccurate segmentation of solitary pulmonary nodule may lead to an erroneous prediction of the disease. In this paper, we perform a comparative study among the available segmentation techniques, which can automatically segment the solitary pulmonary nodules from high-resolution computed tomography (CT) images and then we propose a computerized lung nodule risk prediction model based on the best segmentation technique.


Support Vector Machine Lung Nodule Solitary Pulmonary Nodule Misclassification Error Catchment Basin 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We are thankful to the Centre of Excellence in System Biology and Biomedical Engineering (TEQIP II), University of Calcutta for funding this project and Peerless Hospitex Hospital and Research Center Ltd. for providing their valuable lung cancer image database.


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Copyright information

© Springer India 2016

Authors and Affiliations

  • Jhilam Mukherjee
    • 1
  • Soharab Hossain Shaikh
    • 2
  • Madhuchanda Kar
    • 3
  • Amlan Chakrabarti
    • 1
  1. 1.A.K. Choudhury School of Information TechnologyUniversity of CalcuttaKolkataIndia
  2. 2.Department of Computer Science and EngineeringNIIT UniversityNeemranaIndia
  3. 3.Department of OncologyPeerless Hospital and Research Centre Ltd.KolkataIndia

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