Search Results - (cell OR well) ((image processing) OR (data processing))
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1
Development of an improved image analysis for optical-based AC electrokinetics data / Adilah Hashim
Published 2012“…In order to perform a process, various image processing techniques have been applied on images that have been given from AC Electrokinetics data. …”
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Thesis -
2
Image Segmentation using Enhanced K-means Clustering with Hybrid Image Filtering for Acute Leukemia Blood Cells Microscopic Images
Published 2024thesis::master thesis -
3
Pemprosesan Imej Dan Pengekstrakan Ciri-Ciri Morfologi Secara Automatik Untuk Sel Lesi Payudara Teraspirasi Jarum Halus
Published 2015“…The main objective of this research is to identify automated processing techniques to extract morphological features from fine needle aspirated cell images of breast lesion. …”
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Thesis -
4
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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5
Development of images segmentation using image thresholder and batch processing technique on the blood smears
Published 2022“…Image segmentation is an important part of image processing, and one of the most common approaches is threshold segmentation. …”
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Article -
6
Acute lymphoblastic leukemia blood cell image classification using convolutional neural network / Farrah Hasya Sazali
Published 2025“…The method starts by doing data collection process from HUSM. After that, the collected images undergo the pre-processing of data resizing and data augmentation. …”
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Thesis -
7
Automatic red blood cell counting based on particle area
Published 2015“…The RBC images will be pre-processed in early stage using morphological operations and thresholding to obtain the images with good quality. …”
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8
Computer-aided screening system for cervical precancerous cells based on field emission scanning electron microscopy and energy dispersive x-ray / Yessi Jusman
Published 2016“…In the feature extraction stage, cervical precancerous features were extracted from the FE-SEM/EDX data. Proposed image processing techniques and signal analyses were applied to the FE-SEM/EDX data for feature extraction. …”
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Thesis -
9
Pengekstrakan Ciri Secara Manual Sel Serviks (Manual Features Extraction Of Cervical Cells)
Published 2005“…Digital image processing is a wide field and covers various fields including the medical diagnosis field. …”
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Monograph -
10
Image feature extraction for colorectal cancer cells classification / Mohd. Yamin Ahmad
Published 2015“…In this study, we proposed a method of image pre-processing to extract the important feature of colorectal tissue images. …”
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11
Automatic brain tumor detection using feature selection and machine learning from MRI Images
Published 2022“…The method consists of pre-processing of nearly raw raster data (NRRD) of the MRI images, feature extraction, feature selection, and the classification learner to evaluate and construct the final model. …”
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Conference or Workshop Item -
12
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 -
13
Relationship between cell lumen area and lignin content of alkaline-treated densified timber of Paraserianthes falcataria
Published 2022“…Scanning electron microscopy images were captured and processed through ImageJ software. …”
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Article -
14
Dual modality search and retrieval technique analysis for leukemic information system
Published 2011“…The classification rates for individual white blood cells varied between 97 for training data and 95 for testing data depending on the individual cell type- monocyte, lymphocyte, eosinophil, basophil and neutrophil. …”
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Article -
15
Development of 360-degree view imaging using L*a*b* color space for fresh fruit bunch identification
Published 2020“…Image extraction was done using the processing software by referring the data from range sensor installed at the ATV throughout the data collection process in the oil palm plantation. …”
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Thesis -
16
Mathematical modeling of brain tumor cell growth for passive, active and oxygen transport mechanism with microgravity condition / Norfarizan Mohd Said
Published 2018“…The image processing technique known as Enhanced Distance Active Contour (EDAC) are utilized in edge detection of the MRI images to get the parameter estimations for comparison with the model simulations. …”
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Thesis -
17
Navigating UAV Applications in Remote Sensing A Review of Image Acquisition, Processing, And Ethical Considerations
Published 2023“…It is important to follow the right discipline in preparing the process and handling aerial data, as well as to obtain the right results based on the aerial images collected. …”
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Proceedings -
18
Froth-based modeling and control of a batch flotation process
Published 2016“…This paper describes the application of machine vision and fuzzy logic in controlling a batch-flotation cell. To perform this process, a laboratory flotation cell was operated under different conditions while process and image data were simultaneously recorded. …”
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Article -
19
HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC
Published 2014“…Automated system also saves time and cost as the system is able to process large amount of image data at one time. This project proposes a pattern recognition algorithm consisting of statistical methods to extract seven textural features from the HEp-2 cell images followed by classification of staining patterns by using fuzzy logic. …”
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Final Year Project -
20
Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification
Published 2018“…The algorithms to be developed will consist of pre-processing, enhancement and image segmentation. This study also aims to develop an algorithm that uses conversion of greyscale image into RGB as an approach to image processing for greyscale image. …”
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Monograph
