Early prediction of lungs cancer by deep learning algorithms from the CT images with LBP features

Title

Early prediction of lungs cancer by deep learning algorithms from the CT images with LBP features

Creator

Dominic D.; Balachandran K.

Description

The early prediction of the any type of cancer can save the lives of many especially if it is lung cancer which is one of the deadly diseases in the world. Thus the early prediction is implemented we can increase life expectancy and bring the mortality level low. Although there are various methods to detect the lung cancer cells by X-ray and CT scans, however the CT images are more preferred. The 2D images like CT scans are used to get medical results more accurate. The proposed method here will discuss how the LBP features are used to analyze the CT images with the support of Deep Learning methods. In this research work we will discuss how the image manipulation can be done to achieve better results from the CT images through various image processing methods. LBP features helps in estimating the distribution of local binary pattern of an image. A final result with 93% is achieved after the training of the processed images by LBP features. 2020 SERSC.

Source

International Journal of Advanced Science and Technology, Vol-29, No. 5, pp. 3863-3867.

Date

2020-01-01

Publisher

Science and Engineering Research Support Society

Subject

CT images; Deep Learning methods; LBP Features; Smoothening

Coverage

Dominic D., Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, India; Balachandran K., Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, India

Rights

Restricted Access

Relation

ISSN: 20054238

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084219908&partnerID=40&md5=8cb15094fd714beb8b2b5875d74ef74a