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  1. 1
    Unsupervised segmentation technique for acute leukemia cells using clustering algorithms

    Unsupervised segmentation technique for acute leukemia cells using clustering algorithms by Harun, Nor Hazlyna, Abdul Nasir, Aimi Salihah, Mashor, Mohd Yusoff, Hassan, Rosline

    Published 2015
    “…Due to the requirement of prompt and accurate diagnosis of leukaemia, the current study has proposed unsupervised pixel segmentation based on clustering algorithm in order to obtain a fully segmented abnormal white blood cell (blast) in acute leukaemia image.In order to obtain the segmented blast, the current study proposed three clustering algorithms which are k-means, fuzzy c-means and moving k-means algorithms have been applied on the saturation component image. …”
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  2. 2
    Image segmentation based on normalised cuts with clustering algorithm

    Image segmentation based on normalised cuts with clustering algorithm by Choong, Mei Yeen

    Published 2013
    “…With the approach applied in the normalised cuts based image segmentation, the constraint of using normalised cuts algorithm in image segmentation can be alleviated. …”
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  3. 3
    AUTOMATED CERVICAL CELL NUCLEI SEGMENTATION BASED ON MULTILAYER UNSUPERVISED CLUSTERING ALGORITHM AND MORPHOLOGICAL APPROACH

    AUTOMATED CERVICAL CELL NUCLEI SEGMENTATION BASED ON MULTILAYER UNSUPERVISED CLUSTERING ALGORITHM AND MORPHOLOGICAL APPROACH by Khalis Danial Nukman, Khiruddin, Wan Azani, Mustafa, Khairur Rijal, Jamaludin, Khairul Shakir, Ab Rahman, Hiam, Alquran, Syahrul Nizam, Junaini

    Published 2025
    “…The research aims to develop an algorithm for autonomously segmenting the nucleus of cervical cells to aid in diagnosis and future research. …”
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  4. 4
    Computer-aided acute leukemia blast cells segmentation in peripheral blood images

    Computer-aided acute leukemia blast cells segmentation in peripheral blood images by Madhloom, H.T., Kareem, S.A., Ariffin, H.

    Published 2015
    “…The method also introduces an approach to split overlapping cells using the marker-controlled watershed algorithm based on a new marker selection scheme. …”
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  5. 5
    Adaptive Hybrid Blood Cell Image Segmentation

    Adaptive Hybrid Blood Cell Image Segmentation by Muda, TZT, Salam, RA, Ismail, S

    Published 2024
    Proceedings Paper
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  6. 6
    Adaptive Hybrid Blood Cell Image Segmentation

    Adaptive Hybrid Blood Cell Image Segmentation by Tuan Muda, Tuan Zalizam, Abdul Salam, Rosalina, Ismail, Suzilah

    Published 2019
    “…In this paper, we present an adaptive hybrid analysis based on selected segmentation algorithms. Three designates common approaches, that are Fuzzy c-means, K-means and Mean-shift are adapted. …”
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  7. 7
    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
    “…A new segmentation technique with each pixel in the image has its own threshold is developed in response to the fact that standard threshold-based segmentation algorithms only establish one or many thresholds, making it difficult to extract the complex information in an image. …”
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  8. 8
    Deploying patch-based segmentation pipeline for fibroblast cell images at varying magnifications

    Deploying patch-based segmentation pipeline for fibroblast cell images at varying magnifications by Malik, Hafizi, Idris, Ahmad Syahrin, Toha @ Tohara, Siti Fauziah, Idris, Izyan Mohd, Daud, Muhammad Fauzi, Tokhi, Mohammad Osman

    Published 2023
    “…The research employs patch-based segmentation for predictions, with U-Net as the baseline architecture. …”
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  9. 9
    SEGMENTATION OF ANTI-NUCLEAR ANTIBODY IMAGES BASED ON WATERSHEDS AND FAST REGION MERGING

    SEGMENTATION OF ANTI-NUCLEAR ANTIBODY IMAGES BASED ON WATERSHEDS AND FAST REGION MERGING by Mehfar, Noor Liyana

    Published 2013
    “…Watershed segmentation algorithms are combining edge and region based techniques. …”
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    Final Year Project
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  10. 10
    Content-based image retrieval of blood cells based on colour / Alagu Rathina Bairavi

    Content-based image retrieval of blood cells based on colour / Alagu Rathina Bairavi by Bairavi, Alagu Rathina

    Published 2009
    “…The segmented image is then subtracted with the blood cell images, which are already manually segmented and stored in the database. …”
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  11. 11
    Micro-Crack Detection Of Solar Cells Featuring Adaptive Anisotropic Diffusion Filter And Semi-Supervised Support Vector Learning

    Micro-Crack Detection Of Solar Cells Featuring Adaptive Anisotropic Diffusion Filter And Semi-Supervised Support Vector Learning by Majid, Said Amirul Anwar B Ab Hamid @ Ab

    Published 2014
    “…These properties together with the shape feature of the micro-crack are used in developing the detection algorithm. In this work, an image processing algorithm featuring an adaptive anisotropic diffusion filter and a segmentation technique based on twostage thresholding is proposed. …”
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  12. 12
    An enhanced segment particle swarm optimization algorithm for kinetic parameters estimation of the main metabolic model of Escherichia coli

    An enhanced segment particle swarm optimization algorithm for kinetic parameters estimation of the main metabolic model of Escherichia coli by Mohammed Adam, Kunna, Tuty Asmawaty, Abdul Kadir, Muhammad Akmal, Remli, Noorlin, Mohd Ali, Kohbalan, Moorthy, Noryanti, Muhammad

    Published 2020
    “…In this study, an Enhanced Segment Particle Swarm Optimization algorithm (ESe-PSO) was proposed for kinetic parameters estimation. …”
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  13. 13
    Classification of acute leukemia using image processing and machine learning techniques / Hayan Tareq Abdul Wahhab

    Classification of acute leukemia using image processing and machine learning techniques / Hayan Tareq Abdul Wahhab by Wahhab, Hayan Tareq Abdul

    Published 2015
    “…Tettamanti Research Center for childhood leukemia and hematological diseases, Italy. The image segmentation addressed several key issues in blast cells segmentation including, the blast cell localization, sub-imaging, color variation and segregation of touching cells. …”
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  14. 14
    Color image enhancement of acute leukemia cells in blood microscopic image for leukemia detection sample

    Color image enhancement of acute leukemia cells in blood microscopic image for leukemia detection sample by Harun, Nor Hazlyna, Abu Bakar, Juhaida, Abd Wahab, Zulkifli, Osman, Muhammad Khusairi, Harun, Hazaruddin

    Published 2020
    “…The segmentation algorithm uses saturation S-component based on Hue, Saturation, Intensity (HSI) color model. …”
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  15. 15
    Unsupervised colour segmentation of white blood cell for acute leukaemia images

    Unsupervised colour segmentation of white blood cell for acute leukaemia images by A. S., Abdul Nasir, Mohd Yusoff, Mashor, Prof. Dr., H., Rosline

    Published 2011
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  16. 16
    Geometric Feature Extraction for Identification and Classification of Overlapping Cells for Leukaemia

    Geometric Feature Extraction for Identification and Classification of Overlapping Cells for Leukaemia by Siew Ming, Kiu, Yin Chai, Wang

    Published 2022
    “…Geometric features of blood cells are proposed to identify and classify overlapping cells into groups based on different overlapping degrees and the number of overlapped cells. …”
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  17. 17
    Geometric Feature Extraction for Identification and Classification of the Overlapping Cells for Leukaemia

    Geometric Feature Extraction for Identification and Classification of the Overlapping Cells for Leukaemia by Kiu, Siew Ming

    Published 2018
    “…The proposed method can successful segmentation white blood cell from the overlapping cells with 70%. …”
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  18. 18
    A framework for white blood cell segmentation in microscopic blood images using digital image processing

    A framework for white blood cell segmentation in microscopic blood images using digital image processing by Sadeghian, Farnoosh, Seman, Zainina, Ramli, Abdul Rahman, Abdul Kahar, Badrul Hisham, Saripan, M. Iqbal

    Published 2009
    “…The segmentation is conducted using a proposed segmentation framework that consists of an integration of several digital image processing algorithms. …”
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  19. 19
    Red blood cell image enhancement techniques for cells with overlapping condition

    Red blood cell image enhancement techniques for cells with overlapping condition by Oussama, L., A. Jamil, M. M., W. M., Hafizah, Ambar, R.

    Published 2017
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  20. 20
    An image segmentation algorithm for measurement of flotation froth bubble size distributions

    An image segmentation algorithm for measurement of flotation froth bubble size distributions by Jahedsaravani, A., Massinaei, M., Marhaban, Mohammad Hamiruce

    Published 2017
    “…The results indicate that the developed algorithms, in particular the sub-image classification based segmentation algorithm, can accurately and reliably identify the individual small and large bubbles in the actual froth images, which is often problematic.…”
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