2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) 2015
DOI: 10.1109/iciiecs.2015.7193137
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Brain tumor diagnosis from MRI feature analysis - A comparative study

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Cited by 18 publications
(8 citation statements)
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“…Brain tumor extracted from proposed method is better than the tumor extracted from sobel edge detection. Sergio Pereira et al [6] had proposed a novel Convolutional Neural Network (CNN) based method for brain tumor segmentation in MR images. The 3*3 bit CNN is used as deep CNN architecture.…”
Section: Literature Review Nilakshi Devi and Kaustubh Bhattacharymentioning
confidence: 99%
“…Brain tumor extracted from proposed method is better than the tumor extracted from sobel edge detection. Sergio Pereira et al [6] had proposed a novel Convolutional Neural Network (CNN) based method for brain tumor segmentation in MR images. The 3*3 bit CNN is used as deep CNN architecture.…”
Section: Literature Review Nilakshi Devi and Kaustubh Bhattacharymentioning
confidence: 99%
“…2] Feature extraction using DCT and DWT.3] For classify brain tumor Probabilistic Neural Network is used. From above stages compare the parameters for getting the result [13].…”
Section: Literature Reviewmentioning
confidence: 99%
“…These pictures are used to generate 3-D images. Computer Tomography imaging is very useful for viewing changes in tough tissues [1]. Brain tumor includes gentle tissues therefore soft tissues are not very cleared in CT test image of brain tumor.…”
Section: Introductionmentioning
confidence: 99%