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  1. 1
    An improved artificial bee colony algorithm based on mean best-guided approach for continuous optimization problems and real brain MRI images segmentation

    An improved artificial bee colony algorithm based on mean best-guided approach for continuous optimization problems and real brain MRI images segmentation by Alrosan, Ayat, Alomoush, Waleed, Norwawi, Norita, Alswaitti, Mohammed, Makhadmeh, Sharif Naser

    Published 2024
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  2. 2
    Improved Fast Fuzzy C-Means Algorithm for Medical MR Images Segmentation

    Improved Fast Fuzzy C-Means Algorithm for Medical MR Images Segmentation by Li, Min, Huang, Tinglei, Zhu, Gangqiang

    Published 2008
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  3. 3
    Development of Acute Stroke Lesion Segmentation Algorithm in Brain MRI using Pseudo-colour with K-means Clustering

    Development of Acute Stroke Lesion Segmentation Algorithm in Brain MRI using Pseudo-colour with K-means Clustering by Abang Mohd Arif Anaqi, Abang Isa

    Published 2021
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  4. 4
    Signal Noise Removal using Concurrent Algorithm

    Signal Noise Removal using Concurrent Algorithm by Hammuzamer Irwan , Hamzah, Azween, Abdullah

    Published 2008
    “…The inspiration of human ear by means of the cochlea is adapted for the noise filtering mechanism. …”
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  5. 5
    Measurement of middle ear volume in adults using three-dimensional (3D) reconstruction multi-detector computer tomography (MDCT) scan

    Measurement of middle ear volume in adults using three-dimensional (3D) reconstruction multi-detector computer tomography (MDCT) scan by Rahman, Siti Khairunnisaak Abdul Rahman

    Published 2018
    “…The CT brains were performed on Siemens SOMATOM Definition AS+ CT machine with a slice thickness of 1mm and high kernel bone algorithm. …”
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  6. 6
    Pseudo-colour with K-means Clustering Algorithm for Acute Ischemic Stroke Lesion Segmentation in Brain MRI

    Pseudo-colour with K-means Clustering Algorithm for Acute Ischemic Stroke Lesion Segmentation in Brain MRI by Abang Mohd Arif Anaqi, Abang Isa, Kuryati, Kipli, Ahmad Tirmizi, Jobli, Muhammad Hamdi, Mahmood, Siti Kudnie, Sahari, Aditya Tri, Hernowo, Sinin, Hamdan

    Published 2021
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  7. 7
    Biologically Inspired Signal Noise Elimination Using Human Ear Model with Concurrent Algorithm

    Biologically Inspired Signal Noise Elimination Using Human Ear Model with Concurrent Algorithm by Hammuzamer Irwan, Hamzah, Azween, Abdullah

    Published 2008
    “…The human ear by means of the cochlea is modeled and adapted for the noise filtering mechanism. …”
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  8. 8
    Recognition of motor imagery of hand movements for a BMI using PCA features

    Recognition of motor imagery of hand movements for a BMI using PCA features by Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesapandian, Sazali, Yaacob, Abd Hamid, Adom, Ramachandran, Nagarajan

    Published 2009
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  9. 9
    Automated Region Growing for Segmentation of Brain Lesion in Diffusion-weighted MRI

    Automated Region Growing for Segmentation of Brain Lesion in Diffusion-weighted MRI by Mohd Saad, Norhashimah, Abdullah, Abdul Rahim

    Published 2012
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  10. 10
    A robust technique of brain MRI classification using color features and k-nearest neighbor algorithm

    A robust technique of brain MRI classification using color features and k-nearest neighbor algorithm by Fayaz, Muhammad, Shah, Abdul Salam, Wahid, Fazli, Shah, Asadullah

    Published 2016
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  11. 11
    Evaluation of intracerebral haemorrhages surface area using artificial intelligence in computed tomography

    Evaluation of intracerebral haemorrhages surface area using artificial intelligence in computed tomography by Huddin, Azzam Basseri, Huddin, Aqilah Baseri, Tharek, Anas, Wan Zaki, Wan Mimi Diyana, Muda, Ahmad Sobri

    Published 2022
    “…Conclusion: The automated AI-based algorithm significantly improved the ICH surface area measurement from the CT brain with higher accuracy and efficiency in comparison to the conventional method.…”
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  12. 12
    Prediction of Alzheimer disease using improved MMSE ensemble regressor based on magnetic resonance images

    Prediction of Alzheimer disease using improved MMSE ensemble regressor based on magnetic resonance images by Farzan, Ali

    Published 2015
    “…Nowadays, it is obvious that onset of the disease can be even decades before manifestation of the symptoms and it can be revealed by investigating the brain structures. Early prognosing of Alzheimer’s disease by analyzing brain MR images and inspecting effect of it on brain structures is a hard task. …”
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  13. 13
    A Novel Pixel Counting Technique to Assess the Volumetric Changes in Human Brain Morphology

    A Novel Pixel Counting Technique to Assess the Volumetric Changes in Human Brain Morphology by K., Nithyakalyani, R., Kalpana, S., Sudhakar, N., Vigneswaran

    Published 2015
    “…The clustering technique pursued includes the traditional K-means and fuzzy Cmeans algorithm by considering the Euclidean distance metric toward grouping of entities of similar pattern vectors. …”
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  14. 14
    Automated Segmentation And Classification Technique For Brain Stroke

    Automated Segmentation And Classification Technique For Brain Stroke by Mohd Saad, Norhashimah, Abdullah, Abdul Rahim, Mohd Noor, Niza Suzaini, Mohd Ali, Nursabillilah

    Published 2019
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  15. 15
    Evaluation of time-domain features for motor imagery movements using FCM and SVM

    Evaluation of time-domain features for motor imagery movements using FCM and SVM by Khorshidtalab, Aida, Salami, Momoh Jimoh Eyiomika, Hamedi , Mahyar

    Published 2012
    “…Brain–Machine Interface is a direct communication pathway between brain and an external electronic device. …”
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  16. 16
    Evaluation of wavelet compression algorithm on computed tomography (CT) images

    Evaluation of wavelet compression algorithm on computed tomography (CT) images by Salfor, Amhamed, Ramli, Abdul Rahman, Ng, Kwan Hoong, Abd Ghani, Abdul Azim, Prakash, Veeraraghavan

    Published 2001
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  17. 17
    Wavelet-based compression of medical images: Filter-bank selection and evaluation

    Wavelet-based compression of medical images: Filter-bank selection and evaluation by Saffor, A., Bin Ramli, A.R., Ng, K.H.

    Published 2003
    “…We evaluated the best types of filters suitable for medical images in providing low bit rate and low computational complexity. In this study a variety of wavelet filters are used to compress and decompress computed tomography (CT) brain and abdomen images. …”
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  18. 18
    Evaluating the effectiveness of time-domain features for motor imagery movements using SVM

    Evaluating the effectiveness of time-domain features for motor imagery movements using SVM by Khorshidtalab, Aida, Salami, Momoh Jimoh Emiyoka, Hamedi , Mahyar

    Published 2012
    “…In this work, in order to have less computational complexity, time-domain algorithms are employed to motor imagery signals. …”
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  19. 19
    The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier

    The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier by Jothi Letchumy, Mahendra Kumar, Mamunur, Rashid, Rabiu Muazu, Musa, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Anwar, P. P. Abdul Majeed

    Published 2021
    “…One of the earliest methods to observe the brain dynamic is through Electroencephalogram (EEG) brain signal. …”
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  20. 20
    Improving brain tumor segmentation in MRI images through enhanced convolutional neural networks

    Improving brain tumor segmentation in MRI images through enhanced convolutional neural networks by Ayomide, Kabirat Sulaiman, Mohd Aris, Teh Noranis, Zolkepli, Maslina

    Published 2023
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