Proceedings of the 2020 2nd International Conference on Sustainable Manufacturing, Materials and Technologies 2020
DOI: 10.1063/5.0031014
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Brain tumor detection and classification using SIFT in MRI images

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Cited by 8 publications
(2 citation statements)
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“…This approach was also successful in extracting the new texture features for defining the image properties which in turn provided better classification results for diagnosing the cancer. Altaei and Kamil (2020) proposed a method to accurately classify the brain tumor using the SIFT descriptors. Here, a two-level classification model was used.…”
Section: Wearable Iot Based Diagnosismentioning
confidence: 99%
See 1 more Smart Citation
“…This approach was also successful in extracting the new texture features for defining the image properties which in turn provided better classification results for diagnosing the cancer. Altaei and Kamil (2020) proposed a method to accurately classify the brain tumor using the SIFT descriptors. Here, a two-level classification model was used.…”
Section: Wearable Iot Based Diagnosismentioning
confidence: 99%
“…Altaei and Kamil (2020) proposed a method to accurately classify the brain tumor using the SIFT descriptors. Here, a two-level classification model was used.…”
Section: Literature Surveymentioning
confidence: 99%