Reflexive Spotting of the Deep Vein Thrombosis in the Femoral Nerve Using RF Classifier Model

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Reflexive Spotting of the Deep Vein Thrombosis in the Femoral Nerve Using RF Classifier Model

Journal Title: IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) - Year 2018, Vol 13, Issue 2

Abstract

A nerve that arises from the second, third and fourth lumbar nerves and supplies the muscles and skin of the anterior region of the thigh is known as femoral nerve. It is the main nerve that extends to the knee muscles. The damage of this nerves affects the walking ability of a human. This paper proposes a real-time image are collected from the public database. As the collected images are more prone to noise, they are preprocessed. The preprocessed images are next segmented by Active Contour Method. From the segmented images, shape and texture features such as area, eccentricity solidity, perimeter, major axis length, contrast, correlation. Energy and homogeneity are extracted. Feature extraction helps to select the relevant attributes for classifying and detecting the affected areas. The images are classified as malignant or benign using Random Forest Classifier. Performance indices such as sensitivity, specificity and accuracy were computed. K

Authors and Affiliations

Anita Titus, Nirmaladevi R

Keywords

Active Contour Method Deep Vein Thrombosis Random Forest Classifier

EP ID EP439081
DOI 10.9790/2834-1302028288.
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