Search Results - blood ((pollination algorithm) OR (optimization algorithm))
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
Published 2013“…Due to the importance of blood vessel detection in many medical tools and the increasing demand for portable diagnosis equipment, fast blood vessel detection algorithm in a standalone and portable device is very important. …”
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Color image enhancement of acute leukemia cells in blood microscopic image for leukemia detection sample
Published 2020“…In this study, PSO algorithm is used to perform image segmentation to remove all the unwanted part such as red blood cell (RBC), platelet and also the background while retain the WBC part. …”
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Effect of low-intensity exercise therapy combined with health education on quality of life and blood pressure in hypertensive patients
Published 2024“…In this paper, starting from exercise prescription and health promotion of hypertension, the hyperparameters of the XGBoost model are optimized using the Bayesian optimization algorithm, and then the BO-XGBoost blood pressure detection model is constructed. …”
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Detection of corneal arcus using rubber sheet and machine learning methods
Published 2019“…The benchmark of the classification algorithm for CA is needed to analyze the optimal output of the algorithm. …”
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Salivary based SERS analysia in recognition of NS1 for PCA-SVM classification of dengue fever / Afaf Rozan Mohd Radzol
Published 2018“…The spectra are pre-processed to remove unwanted features using signal processing algorithms customized and optimized for this study. …”
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Salivary based SERS analysis in recognition of NS1 for PCA-SVM classification of dengue fever / Afaf Rozan Mohd Radzol
Published 2018“…The spectra are pre-processed to remove unwanted features using signal processing algorithms customized and optimized for this study. …”
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Thesis -
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Salivary based sers analysis in recognition of ns1 for pcasvm classification of dengue fever / Afaf Rozan Mohd Radzol
Published 2018“…The spectra are pre-processed to remove unwanted features using signal processing algorithms customized and optimized for this study. …”
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Book Section -
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Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients
Published 2017“…The proposed method is based on a hybrid method integrating random walkers algorithm with integrated priors and particle swarm optimized spatial fuzzy c-means (FCM) algorithm with level set method and AdaBoost classifier. …”
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10
Blood cell classification using deep learning
Published 2022“…Throughout the years, hematology, which is the study of blood and its disorders, has played a big part in the health sector of Malaysia. …”
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Final Year Project / Dissertation / Thesis -
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Hybridization Of Optimized Support Vector Machine And Artificial Neural Network For The Diabetic Retinopathy Classification Problem
Published 2019“…Hence, this research aims to obtain optimal or near-optimal performance value in the study of diabetic classification using supervised machine learning. …”
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12
White blood cell recognition for biomarker model using improved convolutional neural network (CNN)
Published 2022“…White Blood Cell (WBC) is one of important elements in protecting human’s immunity system. …”
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Embedded Dual Band Rfid Based Blood Glucose Monitoring System For Internet Of Medical Things
Published 2020“…In order to reduce the risks of error for patients with diabetes, a new design of wireless blood glucose monitoring system with the embedment of dual band RFID for Internet of Medical Things is being developed. …”
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16
Classification Algorithms and Feature Selection Techniques for a Hybrid Diabetes Detection System
Published 2021“…Several combinations of Harmony search algorithm, genetic algorithm, and particle swarm optimization algorithm are examined with K-means for feature selection. …”
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Performance comparison of non-invasive blood glucose level using artificial neural network and ultra-wide band antenna
Published 2020“…Several experiments were carried out to investigate the optimal ANN learning algorithm (levenberg-marquardt (LM), resilient backpropagation (RP) and scaled conjugate gradient (SCG)) for performance comparison. …”
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Hepatitis C Virus Core Antigen As Alternative Diagnostic Algorithm For Active Hepatitis C Virus Infection Among Haemodialysis Population: Cost Implications
Published 2024journal::journal article -
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Classification of Diabetes Mellitus using Ensemble Algorithms
Published 2021“…Data mining and machine learning techniques can be extremely useful in classification of DM considering the need to have a shift from current traditional methods which use sharp needles to draw blood towards a non - invasive method. The objective of this study is to perform DM classification using various machine learning algorithms. …”
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