Analysis of MRI Images to Discover Brain Tumor Detection Using CNN and VGG-16

Title

Analysis of MRI Images to Discover Brain Tumor Detection Using CNN and VGG-16

Creator

Vasudevan A.; Preethi N.

Description

Brain tumor is a malignant illness where irregular cells, excess cells and uncontrollable cells are grown inside the brain. Now-a-days Image processing plays a main role in discovery of breast cancer, lung cancer and brain tumor in initial stage. In Image processing even the smallest part of tumor is sensed and can be cured in early stage for giving the suitable treatment. Bio-medical Image processing is a rising arena it consists of many types of imaging approaches like CT scans, X-Ray and MRI. Medical image processing may be the challenging and complex field which is rising nowadays. CNN is known as convolutional neural network it used for image recognition and that is exactly intended for progression pixel data. The performance of model is measured using two different datasets which is merged as one. In this paper two models are used CNN and VGG-16 and finding the best model using their accuracy. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Smart Innovation, Systems and Technologies, Vol-302, pp. 415-422.

Date

2022-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Brain tumor; CNN; Detection; Image processing; MRI; VGG-16

Coverage

Vasudevan A., Christ University, Bangalore, India; Preethi N., Christ University, Bangalore, India

Rights

Restricted Access

Relation

ISSN: 21903018; ISBN: 978-981192540-5

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-19-2541-2_32

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