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  1. 1
    A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations

    A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations by Malik, Hafizi, Idris, Ahmad Syahrin, Toha @ Tohara, Siti Fauziah, Mohd Idris, Izyan, Daud, Muhammad Fauzi, Azmi, Nur Liyana

    Published 2023
    “…Computer scientists have developed algorithms to automate cell imaging analysis, but they are not widely adopted by biologists, especially those lacking an interactive platform. …”
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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
    “…This can be done by performing the normalised cuts algorithm in hierarchical manner in which the image is divided into image cells where local segmentation is performed on each of the image cells. …”
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  3. 3
    New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images

    New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images by Eng , Sheh Ling

    Published 2016
    “…In this research study, medical microscopic cervical cell and human epithelial type 2 (HEp-2) cell images were employed as case studies. …”
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  4. 4
    Indoor global path planning based on critical cells using dijkstra algorithm

    Indoor global path planning based on critical cells using dijkstra algorithm by Azrul Amri, Jamal, Engku Fadzli Hasan, Syed Abdullah, Fatma Susilawati, Mohamad

    Published 2015
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  5. 5
    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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  6. 6
    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
    “…Moreover, in this paper, basic Gaussian filter is been implement to enhance the watershed segmentation by reducing some of the unwanted noise inside the images and highlighting the edge of cells. …”
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  7. 7
    Comparative Analysis of Cervical Cell Classification Using Machine Learning Algorithms

    Comparative Analysis of Cervical Cell Classification Using Machine Learning Algorithms by Wan Azani Mustafa, Khalis Khiruddin, Khairur Rijal Jamaludin, Firdaus Yuslan Khusairi, Shahrina Ismail

    Published 2026
    journal::journal article
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  8. 8
    Computer aided system for dendritic cells detection and counting

    Computer aided system for dendritic cells detection and counting by Muhd Suberi, Anis Azwani

    Published 2017
    “…As DCs counting are crucial in most cancer treatment procedures, this research proposes a pioneering system called CasDC (Computer Aided System for Dendritic Cells identification) which implements an image processing algorithm to recognise and count DCs with a label-free method. …”
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  9. 9
    Brain tumor image segmentation using deep learning approach

    Brain tumor image segmentation using deep learning approach by Darshan, Suresh

    Published 2022
    “…In addition, the existing software for brain tumor segmentation are implemented using conventional image segmentation algorithms which are labor intensive and causes over or under segmented tumor regions. …”
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  10. 10
    Classification Of Cervical Cancer Stage From Pap Smear Tests

    Classification Of Cervical Cancer Stage From Pap Smear Tests by Sendal, Ken Irok

    Published 2019
    “…The proposed approach will implement stages of image pre-processing, feature selection and extraction as well as classification of classes. …”
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  11. 11
    Hybrid artificial intelligent algorithm for call admission control in WCDMA mobile network

    Hybrid artificial intelligent algorithm for call admission control in WCDMA mobile network by Tee Y.K., Tiong S.K., Johnny K.S.P., Yeoh E.C.

    Published 2023
    Conference paper
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  12. 12
    Implementation of an improved cellular neural network algorithm for brain tumor detection

    Implementation of an improved cellular neural network algorithm for brain tumor detection by Azian Azamimi, Abdullah, Bu, Sze Chize, Nishio, Yoshifumi

    Published 2012
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  13. 13
    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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  14. 14
    “SEGMENTATION OF ANTI NEUTROPHIL CYTOPLASMIC ANTIBODIES (ANCA) IMAGES BASED ON WATERSHED AND WAVELET”

    “SEGMENTATION OF ANTI NEUTROPHIL CYTOPLASMIC ANTIBODIES (ANCA) IMAGES BASED ON WATERSHED AND WAVELET” by Nasir Nasir, Muhamad Hasyeme

    Published 2013
    “…Many researchers suggest different techniques of segmentation to segment the ANCA images before being further processed. In this research, author focus on Watershed technique to segment the ANCA images by implementing the algorithm in Matlab. …”
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  15. 15
    Plant leaf recognition algorithm using ant colony-based feature extraction technique

    Plant leaf recognition algorithm using ant colony-based feature extraction technique by Ghasab, Mohammad Ali Jan

    Published 2013
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  16. 16
    Breast cancer classification using mammography image and K-Nearest Neighbour / Najihah Ahmad Latif

    Breast cancer classification using mammography image and K-Nearest Neighbour / Najihah Ahmad Latif by Ahmad Latif, Najihah

    Published 2020
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  17. 17
    Hardware prototyping of Iris recognition system: A neural network approach

    Hardware prototyping of Iris recognition system: A neural network approach by Florence Choong Chiao Mei, Mamun Ibne Reaz, Tan, Ai Leng, Faisal Mohd Yasin

    Published 2007
    “…The design was successfully implemented, tested and validated on Altera Mercury EP1M120F484C5 FPGA utilizing 4157 logic cells and achieved a maximum frequency of 121.87 MHz. …”
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  18. 18
    Segmenting CT images of bronchogenic carcinoma with bone metastases using PET intensity markers approach

    Segmenting CT images of bronchogenic carcinoma with bone metastases using PET intensity markers approach by Avazpour, Iman, Roslan, Ros Ernida, Bayat, Peyman, Saripan, M. Iqbal, Nordin, Abdul Jalil, Raja Abdullah, Raja Syamsul Azmir

    Published 2009
    “…Hence, the existence of cancer cells can be recognized in PET image but since the structural location and position cannot be defined on PET images, we need to retrieve the information from CT images. …”
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  19. 19
    Development of brain tumor segmentation of magnetic resonance imaging (MRI) using u-net deep learning

    Development of brain tumor segmentation of magnetic resonance imaging (MRI) using u-net deep learning by Jwaid W.M., Al-Hussein Z.S.M., Sabry A.H.

    Published 2023
    “…The study built and trained the 3D U-Net CNN including encoding/decoding relationship architecture to perform the brain tumor segmentation because it requires fewer training images and provides more precise segmentation. The algorithm consists of three parts; the first part, the downsampling part, the bottleneck part, and the optimum part. …”
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  20. 20
    White blood cell recognition for biomarker model using improved convolutional neural network (CNN)

    White blood cell recognition for biomarker model using improved convolutional neural network (CNN) by Mohd Safuan, Syadia Nabilah

    Published 2022
    “…In this project, a diagnostic algorithm for WBCs’ DL analysis is proposed by combining transfer learning approach with fine tuning (FT) approach and tested on Kaggle dataset (9957 images). …”
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