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1
Detection of acute leukaemia cells using variety of features and neural networks
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Working Paper -
2
Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri
Published 2017“…The implementation of the algorithm has several step and process to take which are discussed in details in this paper. …”
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Thesis -
3
HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC
Published 2014“…A working classification algorithm is developed by using MATLAB and the Fuzzy Logic Toolbox to differentiate and classify the staining pattern of HEp-2 cell images. …”
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Final Year Project -
4
Modified Piecewise Linear Mapping Contrast Enhancement And Local Otsu Segmentation Methods For Hep-2 Cell Images
Published 2019“…This study analyses the importance of both methods, which could possibly improve the HEP-2 classification process. The pre-processing is capable to provide a better quality cell features in an image through contrast enhancement process, while segmentation which segregates important features could improve the classification performances. …”
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Thesis -
5
Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition
Published 2021“…The prevention of breast cancer remains a challenge in the current world as the growth of breast cancer cells is a multistep process that involves multiple cell types. …”
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Article -
6
RSA Encryption & Decryption using JAVA
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 -
7
Comparative analysis of danger theory variants in measuring risk level for text spam messages
Published 2024Subjects: “…Dendritic Cell Algorithm (DCA)…”
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Geometric Feature Extraction for Identification and Classification of Overlapping Cells for Leukaemia
Published 2022“…It reduced 46.12 percent of the over-segmentation problem. Tests of cell counting are conducted in the two stages, which are before and after the process of identification and classification of overlapping cells. …”
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Classification of acute leukemia using image processing and machine learning techniques / Hayan Tareq Abdul Wahhab
Published 2015“…The work presented in this thesis is focused on processing of peripheral blood smear images of patients suffering from leukemia based on blast cells morphology. …”
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Thesis -
10
Red blood cells classification with sharpening segmentation and mask R-CNN
Published 2023“…This paper proposes classification using sharpening segmentation combined with the algorithm mask R-CNN to increase the accuracy of calculating the number of RBCs. …”
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Conference or Workshop Item -
11
Classification red blood cells using support vector machine
Published 2023“…Cells; Classification (of information); Cytology; Diagnosis; Feature extraction; Image processing; Image segmentation; Imaging techniques; Medical imaging; Support vector machines; Classifier algorithms; Clinical diagnosis; Confusion matrices; Image processing technique; Mean Filte; Red blood cell; Retrieval systems; SVM; Blood…”
Conference Paper -
12
Geometric Feature Extraction for Identification and Classification of the Overlapping Cells for Leukaemia
Published 2018“…It had reduced 46.12% of over-segmentation problem. Tests of cell counting in between the two stages, which are before and after for the process of identification and classification of overlapping cells. …”
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Thesis -
13
An Intelligent Detection System for Rheumatoid Arthritis (RA) Disease using Image Processing
Published 2014“…The algorithm tested on the publicly available Mivia Hep-2 Cell image dataset. …”
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Final Year Project -
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Classification Of Cervical Cancer Stage From Pap Smear Tests
Published 2019“…The performance of the proposed classification algorithm gave satisfactory results of accuracy, 91.9% for KNN classification and 95.0% for SVM classification.…”
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Final Year Project -
16
MITOTIC HEp-2 CELL RECOGNITION USING LOCAL BINARY PATTERN (LBP) AND k-NEAREST NEIGHBOUR (k-NN) CLASSIFIER
Published 2014“…This work involves five stages; image acquisition, pre-processing, feature extraction, distance measurement and classification.…”
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Final Year Project -
17
Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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Journal -
18
Utilisation of Exponential-Based Resource Allocation and Competition in Artificial Immune Recognition System
Published 2011“…Artificial Immune Recognition System is one of the several immune inspired algorithms that can be used to perform classification, a data mining task. …”
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Thesis -
19
Blood cell classification using deep learning
Published 2022“…The advancement of Artificial Intelligence (AI) has introduced complex methods such as deep learning that would automate the classification of blood cells in a fast and accurate manner Thus, the study of White Blood Cells (WBCs) classification using deep learning techniques is proposed in this research. …”
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Final Year Project / Dissertation / Thesis -
20
An image segmentation algorithm for measurement of flotation froth bubble size distributions
Published 2017“…In this work a new watershed algorithm based on whole and sub-image classification techniques is introduced and successfully validated by several laboratory and industrial scale froth images taken under different process conditions. …”
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