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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
DETECTION OF ABNORMALITIES USING MULTIMODAL IMAGE FUSION AND TEXT ENCRYPTION
Authors
RIZMOL P G, MAGNIYA DAVIS
Keywords
MRI (Magnetic resonance imaging),CT(computerized tomography), DWT (Discrete wavelet transform), CNN(Convolution Neural Network)
Abstract
In today�s world the expansion of medical field is tremendous. Early diagnosis and appropriate treatment planning of different diseases requires the precise information which can be obtained through the image fusion of various modalities of medical images. Images fusion is the process of combining the relevant information from a set of images into a single image, where the resultant fused image will be more informative and complete than any of the input images[1]. Here we are combining images of CT scan and MRI scan of the brain, DWT (Discrete wavelet transform) based image fusion is implemented. Then segmentation process is employed to extract the abnormal areas or affected regions from the fused images and Convolutional Neural Network is used to detect the normal and abnormal brain image. And also an AES encryption technique is employed to convert the report of the fused image to cipher text
IJCRT's Publication Details
Unique Identification Number - IJCRT2003182
Paper ID - 192517
Page Number(s) - 1329-1333
Pubished in - Volume 8 | Issue 3 | March 2020
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
RIZMOL P G, MAGNIYA DAVIS, "DETECTION OF ABNORMALITIES USING MULTIMODAL IMAGE FUSION AND TEXT ENCRYPTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 3, pp.1329-1333, March 2020, Available at :http://www.ijcrt.org/papers/IJCRT2003182.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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