Lung Disease Identification and Segmentation in Medical Images

Lung Disease Identification and Segmentation in Medical Images

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2019 by IJETT Journal
Volume-67 Issue-8
Year of Publication : 2019
Authors : M.Mary Adline Priya, Dr.S.Joseph Jawhar.
DOI :  10.14445/22315381/IJETT-V67I8P215

Citation 

MLA Style: M.Mary Adline Priya, Dr.S.Joseph Jawhar  "Lung Disease Identification and Segmentation in Medical Images" International Journal of Engineering Trends and Technology 67.8 (2019):87-91.

APA Style:M.Mary Adline Priya, Dr.S.Joseph Jawhar. Lung Disease Identification and Segmentation in Medical Images  International Journal of Engineering Trends and Technology, 67(8),87-91.

Abstract
The classification and identification of the disease in medical images were helpful in biomedical applications. The process of segmentation of the diseased portion in the lung lobe images were done based on Toboggan algorithm. The lung lobes were segmented from the input images based on gradient estimation following original Toboggan algorithm. If the segmented lung lobes were disease affected means then the identification of disease location is done. The classification process is employed using SVM classifier with the help of features extracted from lung lobes using texture identification. From the gradient estimated lung lesion inside the segmented lung lobes were extracted based on the improved Toboggan algorithm. Contours were extracted over the identified lung lesion regions. The overall performance of the process were measured based on the performance metrics.

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Keywords
Lung cancer, SVM, Lung lesion, Computed Tomography.