World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , 

World Journal of Engineering
Research and Technology

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.218

ICV : 79.45

News & Updation

  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

  • New Issue Published

    Its Our pleasure to inform you that, WJERT 1 January 2019 Issue has been Published, Kindly check it on

  • WJERT New Impact Factor

    Its our Pleasure to Inform you that WJERT Impact Factor has been increased from 4.236 to 5.218 due to high quality Publication at International Level

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    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level


    JANUARY 2019 Issue has been successfully launched on 1 January 2019




Jyotsana Tripathi* and Apoorva Chaudhary


Treatment of cancer has been a major research work that has been going on for several years. Early diagnosis of the tumour has been proven to be useful in treating it. Cerebral cancer is becoming common across the world. An artificial neuron model to segment tumour from Magnetic resonance images (MRI) may be of great help based in fast and effective diagnosis. The process involves use of image processing techniques like Pre- Processing, Segmentation techniques, feature extraction and classification of the image. A Classification of brain is done into Healthy and Tumorous brain. The Objective the proposed project is to help classify the brain by training the Artificial Neural Network (ANN) by inputting MRI images of Tumour free brain and Tumour infected brain to get the system to classify them. This paper describes the previous techniques used for segmentation of MRI images and their drawbacks and talks about the proposed work on how to detect and segment the tumour from the MRI image of the brain. The process includes noise removal and enhancement of the image, segmentation techniques and morphological operations. The whole process of tumour detection and elicitation of the tumour from the image is done using MATLAB.

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