Detection of tuberculosis using convolutional neural network with transfer learning

Title

Detection of tuberculosis using convolutional neural network with transfer learning

Creator

Vincin Pradheep C.; Chandra J.

Description

Tuberculosis is sighted as the one of the life causing disease in the recent time. The current research work focus on detection of Tuberculosis using Convolutional Neural Network with Transfer Learning for chest X-ray images. The proposed research work uses two different datasets for detecting Tuberculosis from Chest X-ray images, which is taken from National Institutes of Heaths. During the experimental work, the total sample size used for detecting Tuberculosis is 800 instances. Initially, the image processing techniques were applied to increase the quality of Chest X-ray images. The proposed model uses Convolution Neural Network with transfer learning for the detection of Tuberculosis with 98.7% as accuracy. The proposed model is checked with convolutional neural network without transfer learning. From the experimental evaluation, it is found that the proposed model works better than the Convolution Neural Network without using the transfer learning. 2017, Institute of Advanced Scientific Research, Inc. All rights reserved.

Source

Journal of Advanced Research in Dynamical and Control Systems, Vol-9, No. Special issue 14, pp. 2532-2542.

Date

2017-01-01

Publisher

Institute of Advanced Scientific Research, Inc.

Subject

Convolutional Neural Network (CNN); Inception-v3; Transfer Learning(TL); Tuberculosis (TB)

Coverage

Vincin Pradheep C., Department of Computer Science, Christ (Deemed to be University), Bangalore, 560029, India; Chandra J., Christ (Deemed to be University, Bangalore, 560029, India

Rights

Restricted Access

Relation

ISSN: 1943023X

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048967986&partnerID=40&md5=2a735e5e1a0fe81f9bb653f21e35e14b