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ANFIS Based Tumor Detection in Thoracic Images

Author Affiliations

  • 1Embedded Systems, Karunya University, Coimbatore, Tamilnadu, INDIA

Res. J. Recent Sci., Volume 3, Issue (ISC-2013), Pages 45-49, (2014)

Abstract

Lung is an important organ in our body which performs its function in both respiratory system and circulatory system. For lung cancer staging, a regional lymph node is important, and an automated system is used to detect both types of abnormalities. A fully automatic differentiation method for Lung tumor and diseased lymph node from CT image of thoracic region is used to calculate the false positive. The performance of detection and differentiation done in three stages, initially detect all potential abnormalities in thoracic image, the lung tumor and diseased lymph nodes are differentiated. Finally Benign and Malignant tumors are classified. Fuzzy logic and Neural Network in MATLAB are used to perform the tasks and also to reduce false positive rate.

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