Search Results - (( java application customization algorithm ) OR ( tissues classification _ algorithm ))
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A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data
Published 2005“…Gene Selection Plays An Important Role Prior To Tissue Classification. In This Paper, A Study On Numerous Combinations Of Gene Selection Techniques And Classification Algorithms For Classification Of Microarray Gene Expression Data Is Presented. …”
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Classification of Emphysema Patterns in Computed Tomography Based On Gabor Filter
Published 2015“…One of the main processing technique in CAD is texture classification and analysis. In this research, a Gabor-based emphysema classification algorithm is proposed. …”
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Final Year Project -
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Effective gene selection techniques for classification of gene expression data
Published 2005“…The selected subset of genes is then be used to train the classifiers for constructing rules for future tissue classification problem. Various k-means clustering algorithms and model-based clustering algorithms are proposed to group the genes. …”
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Thesis -
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Ensemble-based machine learning algorithms for classifying breast tissue based on electrical impedance spectroscopy
Published 2020“…We hope that these our results would help improve the classification of breast tissue to allow the early prediction of cancer susceptibility.…”
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Conference or Workshop Item -
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Predicting breast cancer using ant colony optimisation / Siti Sarah Aqilah Che Ani
Published 2021“…This study implements a machine learning algorithm called Ant Colony Optimization (ACO) algorithm to develop an accurate classification model for predicting breast cancer cells. …”
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Student Project -
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Hybrid of swarm intelligent algorithms in medical applications
Published 2019“…In this paper, we designed a hybrid of swarm intelligence algorithms to diagnose hepatitis, breast tissue, and dermatology conditions in patients with such infection. …”
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Proceeding Paper -
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Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…The four are separation, classification, sorting and rooting. In this work, the type of sample involves oil palm tissue culture (OPTC) shoots obtained from the Malaysia Palm Oil Board (MPOB) tissue culture laboratory. …”
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Thesis -
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A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim
Published 2015“…It is designed to incorporate with the CAPSOCA algorithm which intended to strengthen the classification outcomes. …”
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Thesis -
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Gene subset selection for lung cancer classification using a multi-objective strategy
Published 2008“…It is used to collect the infonnation from tissue and cell samples regarding gene expression differences that could be useful for cancer classification. …”
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Local gray level S-curve transformation – A generalized contrast enhancement technique for medical images
Published 2017“…Most medical images suffer from inadequate contrast and brightness, which leads to blurred or weak edges (low contrast) between adjacent tissues resulting in poor segmentation and errors in classification of tissues. …”
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Texture Classification of lung computed tomography (CT) using local binary patterns (LBP)
Published 2015“…In this work, we proposed an LBP-based lung classification algorithm. The local binary pattern (LBP) is one of the feature extraction technique that can be used in classify the image. …”
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Final Year Project -
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Ganoderma boninense disease detection by near-infrared spectroscopy classification: a review
Published 2021“…This catastrophic disease ultimately destroys the basal tissues of oil palm, causing the eventual death of the palm. …”
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Automated classification radiograph of Periodontal bone loss using deep learning
Published 2025“…Background: Periodontitis is a common chronic inflammatory condition of the supporting tissues of the teeth that destroys the tissues and, if left untreated, results in tooth loss. …”
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Breast cancer histological images nuclei segmentation and optimized classification with deep learning
Published 2022“…The extracted features map using the feature pyramid network has been modified using segmenting objects by locations (SOLO) convolution with grasshopper optimization for multiclass classification. A breast cancer multi-classification technique based on a suggested deep learning algorithm was examined to achieve the accuracy of 99.2% using a huge database of ICIAR 2018, demonstrating the method’s efficacy in offering an important weapon for breast cancer multi-classification in a medical setting. …”
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