A Study of Image Segmentation and Classification of Lung Tumors

Authors

  • Vaibhavi Patel  PG Student, SVIT, VASAD, Gujarat, India
  • Prof. Bijal Talati  H.O.D., SVIT, VASAD, Gujarat, India

Keywords:

Image Processing, Tumor Detection, Tumor Classification, Segmentation, Computer Tomography (CT)

Abstract

Lung Tumors is animportant reason of death worldwide it states to the uncontrolled progress of abnormal cells in the lung. If not treated, this growth can extentearlier the lung by process of metastasis into close-by tissue and different parts of the body. The image processing methodsused commonly in various medical areas for enlightening prior detection and handling stages, in which the time span or elapse is very essential to classify the disease in the patient as possible as fast, especially in many tumors. The method uses first detection of lung mass tissue uses segmentation techniques. Geometrical features Extraction technique used for calculating statistical features. At last, classification used to classifies the tumor. In this paper includes various segmentation, feature types and classification methods withtheir merits and demerits.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-12-31

Issue

Volume 3, Issue 8, November-December-2017

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vaibhavi Patel, Prof. Bijal Talati, " A Study of Image Segmentation and Classification of Lung Tumors, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.360-365, November-December-2017.