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  1. 1
    Region-growing based segmentation and bag of features classification for breast ultrasound images

    Region-growing based segmentation and bag of features classification for breast ultrasound images by Lee, Lay Khoon

    Published 2017
    “…In the next stage, which is the segmentation stage, region growing algorithm is used to automatically detect tumors in ultrasound images. …”
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  2. 2
    Image storage and retrieval using color quantization method

    Image storage and retrieval using color quantization method by Mandal, Koushik Kanti, Islam, Md. Rafiqul, Md. Sap, Mohd. Noor, Khatun, Fahmida, Reza, Md. Parvez

    Published 2005
    “…After segmentation the color features are extracted from the segmented image. …”
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  3. 3
    Quranic diacritic and character segmentation and recognition using flood fill and k-nearest neighbors algorithm

    Quranic diacritic and character segmentation and recognition using flood fill and k-nearest neighbors algorithm by Alotaibi, Faiz E A L

    Published 2019
    “…The diacritic detections are performed using a region-based algorithm with 89% accuracy and 95% improved by using flood fill segmentations method. 2DMED feature extraction accuracy was 90% for diacritics and 96% improved by applied CNN. …”
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  4. 4
    Segmenting nodules of lung tomography image with level set algorithm and neural network

    Segmenting nodules of lung tomography image with level set algorithm and neural network by Chong, Soon Yee, Tan, Min Keng, Yeo, Kiam Beng, Mohd Yusof Ibrahim, Hao, Xiaoxi, Teo, Kenneth Tze Kin

    Published 2019
    “…Performance of the segmentation algorithms is analysed using 20 lung CT images from LIDC dataset. …”
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    Proceedings
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  5. 5
    Malaria parasites segmentation in red blood cells images using mean-shift and median-cut

    Malaria parasites segmentation in red blood cells images using mean-shift and median-cut by Tn. Muda, Tn. Zalizam, A Salam, Rosalina

    Published 2010
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  6. 6
    Image segmentation for songket motif / Zati Iwani Zaharudin

    Image segmentation for songket motif / Zati Iwani Zaharudin by Zaharudin, Zati Iwani

    Published 2007
    “…This paper will cover on comparison of three algorithms of image segmentation, determining which algorithm is more accurate in order to extract songket motifs and a prototype of image segmentation tool using the accurate algorithm determined. …”
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  7. 7
    A Hybrid Active Contour and Artificial Bee Colony Algorithm for Segmenting Mixed-Meal Food Images (S/O: 13239)

    A Hybrid Active Contour and Artificial Bee Colony Algorithm for Segmenting Mixed-Meal Food Images (S/O: 13239) by Harun, Nor Hazlyna, Mahmuddin, Massudi, Harun, Hazaruddin

    Published 2020
    “…Active contour (snake) segmentation is extensively used in image processing and analysis applications particularly for identifying object boundaries. …”
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    Monograph
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  8. 8
    Tuberculosis bacteria counting using watershed segmentation technique

    Tuberculosis bacteria counting using watershed segmentation technique by Hassan, Mohd Khair, Eko Sukohidayat, Nurul Farah Hidayah, Shafie, Suhaidi

    Published 2017
    “…The image processing algorithms used in this project involved Image Acquisition, Image Pre-processing and Image Segmentation. …”
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  9. 9
    Pattern Classification of Human Epithelial Images

    Pattern Classification of Human Epithelial Images by Mohd Isa, Mohd Fazlie

    Published 2016
    “…After that, the second stage will be the image segmentation by using most appropriate clustering technique. …”
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    Final Year Project
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  10. 10
    Cluster approach for auto segmentation of blast in acute leukimia blood slide images

    Cluster approach for auto segmentation of blast in acute leukimia blood slide images by N. H., Harun, Mohd Yusoff, Mashor, Prof. Dr., H., Rosline

    Published 2011
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  11. 11
    Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification

    Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification by Mohd Nizom, Ahmad Nabil

    Published 2018
    “…The algorithms to be developed will consist of pre-processing, enhancement and image segmentation. …”
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  12. 12
    Thermal Image Analysis of Holistic based Treatment

    Thermal Image Analysis of Holistic based Treatment by Ahmad, Solihin Khaiessa

    Published 2017
    “…For consistency, the tolerance value used for the segmentation algorithm is 0.035. The results shows decreasing trend for the total segmented area corresponding to the area of the face covered with the homogeneous temperature.…”
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  13. 13
    Embedded car plate image recognition system

    Embedded car plate image recognition system by Moo Wui Hung

    Published 2008
    “…In order to speed up the image processing process, the system do not use complex algorithm such as Neural Network but use a simple algorithm such as template matching. …”
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  14. 14
    Metacarpal phantom radiograph edge detection using genetic algorithm gradient based genotype / Norharyati Md Ariff

    Metacarpal phantom radiograph edge detection using genetic algorithm gradient based genotype / Norharyati Md Ariff by Md Ariff, Norharyati

    Published 2007
    “…For the image segmentation, genetic algorithm are use to segment the bone image and it is a new method that applies in the image processing field. …”
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  15. 15
    Curvelet based automatic segmentation of supraspinatus tendon from ultrasound image: A focused assistive diagnostic method

    Curvelet based automatic segmentation of supraspinatus tendon from ultrasound image: A focused assistive diagnostic method by Gupta, R., Elamvazuthi, I., Dass, S.C., Faye, I., Vasant, Pa., George, J., Izza, F.

    Published 2014
    “…The segmentation assessment was performed using true positives rate, false positives rate and also accuracy of segmentation. …”
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  16. 16
    Blood cell image segmentation using hybrid K-means and median-cut algorithms

    Blood cell image segmentation using hybrid K-means and median-cut algorithms by Muda T.Z.T., Salam R.A.

    Published 2024
    Conference Paper
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  17. 17
    The impact of AI applications in prostate segmentation on improving clinical diagnostic and treatment: a review of the literature

    The impact of AI applications in prostate segmentation on improving clinical diagnostic and treatment: a review of the literature by Abdul Rahim, Ezamin, Abduljabbar, H. N., Mashohor, Syamsiah, Suppiah, Subapriya, Ismael, .

    Published 2024
    “…The overall obtained articles were 4731, after the limitations of the search strategy, there were only 8articles involved in this study.Findings showed the necessity of prostate segmentation and its role in the diagnosis and treatment improvement; furthermore, there are various approaches to segment prostate gland, but not all of them are suitable to use, due to the accuracy and time limitation.In conclusion, according to the findings of 4articles, which mean50% of the included studies, the results stated that using the CNN algorithm and its different approaches is the highest accuracy methodthat can be used for prostate segmentation.…”
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  18. 18
    Efficient hardware design for palm-dorsa vein image enhancement

    Efficient hardware design for palm-dorsa vein image enhancement by Jusoh@Yusoff, Suhaimi Bahisham

    Published 2018
    “…After that, median filter is used to remove noise introduced from the image segmentation. …”
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  19. 19
    Latent fingerprint enhancement and segmentation technique based on hybrid edge adaptive DTV model

    Latent fingerprint enhancement and segmentation technique based on hybrid edge adaptive DTV model by Yousef A. Baker, El-Ebiary, Abdilahi, Liban, Abdullah, M.A., Othman A. M., Miaikil, Contreras, Jennifer, Hilles, M.M.

    Published 2021
    “…Image enhancement and segmentation is widely used for fingerprint identification and authorization in biometrics devices, criminal scene is most challenges due to low quality of fingerprint , the most significant efforts is to develop algorithm for latent fingerprint enhancement which become challenging problem due to the complex and existing problem for instance, developing algorithms of latent fingerprint is able to extract features of image blocks and removing overlapping and isolate the poor and noisy background. however, it's still challenging and interested problem specifically latent fingerprint enhancement and segmentation . …”
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  20. 20
    Interactive blood vessel segmentation from retinal fundus image based on canny edge detector

    Interactive blood vessel segmentation from retinal fundus image based on canny edge detector by Ibrahim, Haidi, Ooi, Alexander Ze Hwan, Soo, Siang Teoh, Embong, Zunaina, Abd Hamid, Aini Ismafairus, Zainon, Rafidah, Shir, Li Wang, Theam, Foo Ng, Hamzah, Rostam Affendi

    Published 2021
    “…The program will draw out the vessel edges. After that, those vessel edges will be segmented to bring focus on its details or detect the abnormal vessel. …”
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