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  1. 1
    Linear regression convolutional neural network for fully automated coronary lumen segmentation in intravascular optical coherence tomography / Yong Yan Yin

    Linear regression convolutional neural network for fully automated coronary lumen segmentation in intravascular optical coherence tomography / Yong Yan Yin by Yong, Yan Ling

    Published 2018
    “…This automated segmentation algorithm has been benchmarked against manual segmentation by human experts. …”
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    Thesis
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  2. 2
    RSA Encryption & Decryption using JAVA

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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    Final Year Project
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  3. 3
    Development Of Automatic Liver Segmentation Method For Three- Dimensional Computed Tomography Dataset

    Development Of Automatic Liver Segmentation Method For Three- Dimensional Computed Tomography Dataset by Chew, Chin Boon

    Published 2018
    “…The time required for segmentation is 366s. The segmentation results from the algorithm developed are competitive. …”
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    Monograph
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  4. 4
    Dual u-net with resnet encoder for segmentation of medical images

    Dual u-net with resnet encoder for segmentation of medical images by Syed, Qamrun Nisa, Ismail, Amelia Ritahani

    Published 2022
    “…For segmentation, in this work, we have used a dataset of images of the gastrointestinal polyp. …”
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  5. 5
    Mathematical snalysis of blood vessels segmentation based on three retinal images datasets

    Mathematical snalysis of blood vessels segmentation based on three retinal images datasets by Bilal, Sara Mohammed Osman Saleh, Munir, Fatin, Khalifa, Othman Omran

    Published 2014
    “…The results show that measuring the automatic segmentation algorithm performance is based mainly on how the retinal images are acquired as well as the image processing technique used for segmentation. …”
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    Proceeding Paper
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  6. 6
    Novel techniques for enhancement and segmentation of acne vulgaris lesions

    Novel techniques for enhancement and segmentation of acne vulgaris lesions by Malik, A. S., Humayun, J., Kamel, N., Yap, F. B.-B.

    Published 2013
    “…The proposed algorithm uses local rank transform to generate the HDR images from a single acne image followed by the log transformation. …”
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    Citation Index Journal
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  7. 7
    Automatic control of flotation process using computer vision

    Automatic control of flotation process using computer vision by Saravani, Ali Jahed

    Published 2015
    “…Bubble size distribution which is regarded as the most important characteristics of froth structure, is being addressed in this thesis by using a segmentation algorithm. A marker based watershed algorithm had been adopted and improved so as to prevent the over segmentation of big bubbles and able to adapt itself with different scenario of froth images. …”
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  8. 8
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…Therefore, this research has developed an improved edge detection and contour segmentation algorithm that is able to correctly segment various objects from both indoor and outdoor images. …”
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  9. 9
    Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application

    Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application by Yana Aditia, Gerhana, Nur, Lukman, Arief Fatchul, Huda, Cecep Nurul, Alam, Undang, Syaripudin, Devi, Novitasari

    Published 2020
    “…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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    Journal
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  10. 10
    Blood vessels segmentation based on three retinal images datasets

    Blood vessels segmentation based on three retinal images datasets by Bilal, Sara Mohammed Osman Saleh, Munir, Fatin, Karbasi, Mostafa

    Published 2016
    “…The results show that measuring the automatic segmentation algorithm performance is based mainly on how the retinal images are acquired as well as the image processing technique used for segmentation. …”
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  11. 11
    Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review

    Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review by Khan, Z., Yahya, N., Alsaih, K., Al-Hiyali, M.I., Meriaudeau, F.

    Published 2021
    “…Particular attention is given to different loss functions used for training segmentation based on deep learning techniques. …”
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  12. 12
    Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review

    Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review by Khan, Z., Yahya, N., Alsaih, K., Al-Hiyali, M.I., Meriaudeau, F.

    Published 2021
    “…Particular attention is given to different loss functions used for training segmentation based on deep learning techniques. …”
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  13. 13
    Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients

    Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients by Moghbel, Mehrdad

    Published 2017
    “…For liver vasculature segmentation, a mean overlap error of 35.9% and mean absolute relative volume difference of 16.7% was achieved by using the proposed segmentation method, making it amongst the most accurate liver vasculature segmentation methods. …”
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  14. 14
    Development Of Semi-Automatic Liver Segmentation Method For Three-Dimensional Computed Tomography Dataset

    Development Of Semi-Automatic Liver Segmentation Method For Three-Dimensional Computed Tomography Dataset by Chiang, Yi Fan

    Published 2017
    “…In post-processing, the contour of liver is smooth by binary Gaussian filter. The liver segmentation program with proposed algorithm is evaluated with CT datasets obtained from SLIVER07 to prove its effectiveness in liver segmentation. …”
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    Monograph
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  15. 15
    An Optimized Semantic Segmentation Framework for Human Skin Detection

    An Optimized Semantic Segmentation Framework for Human Skin Detection by Huong, Audrey, Ngu, Xavier

    Published 2024
    “…The study incorporating optimization strategy in semantic segmentation is underexplored in dermatology. Existing approaches used complex and various heuristic designs of image processing algorithms and deep models customized for skin detection problems. …”
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  16. 16
    Development of images segmentation using image thresholder and batch processing technique on the blood smears

    Development of images segmentation using image thresholder and batch processing technique on the blood smears by Al-Shoukry, Suhad, Zalili, Musa, Amer, Duha, Kareem, Safaa Muhsen

    Published 2022
    “…The proposed algorithm has appropriately compensated for the variability in image quality.…”
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  17. 17
    The Effects Of Segmenting And Computational Thinking In Digital Video Courseware On Knowledge Achievement, Self-Efficacy And Motivation Among Students With Different Thinking Styles

    The Effects Of Segmenting And Computational Thinking In Digital Video Courseware On Knowledge Achievement, Self-Efficacy And Motivation Among Students With Different Thinking Style... by Ali, Wan Nor Ashiqin Wan

    Published 2023
    “…Descriptive and inferential statistics (ANOVA and ANCOVA) were used to analyse the experimental data. The researcher found significant main and interaction effects of the learner-paced predefined segment on all dependent variables. …”
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  18. 18
    Iris segmentation and normalization approach

    Iris segmentation and normalization approach by Shamsi, Mahboubeh, Saad, Puteh, Rasouli, Abdolreza

    Published 2008
    “…In this work, we enhanced Daugman method to locate the iris and normalized it from polar to Cartesian coordinate. Iris is located by using a variable parameter binning approach. The algorithm is tested using iris images from CASIA database and MMU database. …”
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  19. 19
    Java based expert system for selection of natural fibre composite materials

    Java based expert system for selection of natural fibre composite materials by Ahmed Ali, Basheer A., Salit, Mohd Sapuan, Zainudin, Edi Syams, Othman, Mohamed

    Published 2013
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  20. 20
    Implementation of (AES) Advanced Encryption Standard algorithm in communication application

    Implementation of (AES) Advanced Encryption Standard algorithm in communication application by Moh, Heng Huong

    Published 2014
    “…The concept of ABS algorithm was firstly studied, including the definition, historical background, and a brief comparison was made between the ABS algorithm with other types of algorithm. …”
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    Undergraduates Project Papers
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