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MUBT: An Effective Deep Learning Method for Nidus Segmentation of Brain Tumor MRI Scans
2023 2nd International Conference on Artificial Intelligence and Computer Information Technology (AICIT),
2023
DOI:10.1109/AICIT59054.2023.10278074
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[2]
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Automatic Object-Detection of School Building Elements in Visual Data: A Gray-Level Histogram Statistical Feature-Based Method
Applied Sciences,
2019
DOI:10.3390/app9183915
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[3]
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Identification of Abnormal Brain Images from CT Image Dataset
2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP),
2019
DOI:10.1109/ICACCP.2019.8883013
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[4]
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A Crowdsourcing-based Medical Image Classification Method
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),
2019
DOI:10.1109/BIBM47256.2019.8983103
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Biologically Rationalized Computing Techniques For Image Processing Applications
Lecture Notes in Computational Vision and Biomechanics,
2018
DOI:10.1007/978-3-319-61316-1_5
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MICS: Medical image classification visual system
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),
2016
DOI:10.1109/BIBM.2016.7822664
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Automatic classification of computed tomography brain images using ANN, k-NN and SVM
AI & SOCIETY,
2014
DOI:10.1007/s00146-013-0442-6
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Robust classification of primary brain tumor in Computer Tomography images using K-NN and linear SVM
2014 International Conference on Contemporary Computing and Informatics (IC3I),
2014
DOI:10.1109/IC3I.2014.7019693
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Symmetry theory based classification algorithm in CT image database
2014 10th International Conference on Natural Computation (ICNC),
2014
DOI:10.1109/ICNC.2014.6975921
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