Results 1 to 10 of about 1,445,591 (343)

Classification of White Blood Cell Abnormalities for Early Detection of Myeloproliferative Neoplasms Syndrome Based on K-Nearest Neighborr

Scientific Journal of Informatics, 2020
The myeloproliferative neoplasms (MPNs) are clonal hematopoietic stem cell disorders characterized by dysregulated proliferation and expansion of one or more of the myeloid lineages.
Zilvanhisna Emka Fitri, Lindri Nalentine Yolanda Syahputri, Arizal Mujibtamala Nanda Imron   +2 more
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METODY PŘEDZPRACOVÁNÍ OBRAZU PRO AUTOMATICKOU DETEKCI ÚČASTNÍKŮ SILNIČNÍHO PROVOZU

Perner’s Contacts, 2022
Hlavním cílem tohoto článku je provést analýzu metod předzpracování obrazu a uvést jednotlivé autory a publikace, které se jimi zabývají. Za účelem získání systematického přehledu je v článku navržena metodika pro vyhledávání jednotlivých relevantních ...
Jan Berg, Petr Jilek, Jan Pokorný, Jan Krmela   +3 more
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An Efficient Image Thresholding Method for Arabic Handwriting Recognition System [PDF]

Engineering and Technology Journal, 2016
Image preprocessinghas assumed an essential part ofhandwriting recognition system. The main primary stage of the image preprocessing is thresholding.Aneffectivethresholdingmethodis based on Fuzzy C-Means clustering (FCM) for Arabic Handwriting ...
Alia Karim Abdul Hassan, Mustafa Salam Kadhm   +1 more
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Robust Image Processing Framework for Intelligent Multi-Stage Malaria Parasite Recognition of Thick and Thin Smear Images

Diagnostics, 2023
Malaria is a pressing medical issue in tropical and subtropical regions. Currently, the manual microscopic examination remains the gold standard malaria diagnosis method. Nevertheless, this procedure required highly skilled lab technicians to prepare and
Thaqifah Ahmad Aris, Aimi Salihah Abdul Nasir, Wan Azani Mustafa, Mohd Yusoff Mashor, Edy Victor Haryanto, Zeehaida Mohamed   +5 more
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Prevalence and practices of immunofluorescent cell image processing: a systematic review

Frontiers in Cellular Neuroscience, 2023
BackgroundWe performed a systematic review that identified at least 9,000 scientific papers on PubMed that include immunofluorescent images of cells from the central nervous system (CNS).
Hawley Helmbrecht, Teng-Jui Lin, Sanjana Janakiraman, Kaleb Decker, Elizabeth Nance, Elizabeth Nance   +5 more
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A Novel Approach of Residue Neutrosophic Technique for Threshold Based Image Segmentation [PDF]

Neutrosophic Sets and Systems, 2023
The Residue Neutrosophic Set (RNS) is a new idea in image additional pixel level. Our idea is to make an analysis based on the additional pixel amount. In recent decades, computer vision has revolution ized image analysis by researchers.
D. Vinoth, Ezhilmaran Devarasan
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Renkli Görüntüler İçin Tek Boyutlu Histogram

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2018
Histogramsayısal görüntülerdeki piksellerin dağılımını gösteren önemli bir bilgi temsilyöntemidir. Gri seviyeli görüntülerde tek boyutlu dizi işlenirken, renkligörüntülerde üç boyutlu dizinin analizinin yapılması gereklidir.
Mahmut Kılıçaslan, Ufuk Tanyeri, Recep Demirci   +2 more
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Effects of thresholding on correlation-based image similarity metrics

Frontiers in Neuroscience, 2015
The computation of image similarity is important for a wide range of analyses in neuroimaging, from decoding to meta-analysis. In many cases the images being compared have empty voxels, but the effects of such empty voxels on image similarity metrics ...
Vanessa V Sochat, Vanessa V Sochat, Krzysztof Jacek Gorgolewski, Oluwasanmi eKoyejo, Joke eDurnez, Joke eDurnez, Russell A Poldrack   +6 more
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A Review of Medical Image Segmentation Algorithms [PDF]

EAI Endorsed Transactions on Pervasive Health and Technology, 2021
INTRODUCTION: Image segmentation in medical physics plays a vital role in image analysis to identify the affected tumour. The process of subdividing an image into its constituent parts that are homogeneous in feature is ...
K.K.D. Ramesh, G. Kumar, K. Swapna, Debabrata Datta, S. Rajest   +4 more
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Segmentation by Fractional Order Darwinian Particle Swarm Optimization Based Multilevel Thresholding and Improved Lossless Prediction Based Compression Algorithm for Medical Images

IEEE Access, 2019
The image segmentation refers to the extraction of region of interest and it plays a vital role in medical image processing. This work proposes multilevel thresholding based on optimization technique for the extraction of region of interest and ...
A. Ahilan, Gunasekaran Manogaran, C. Raja, Seifedine Kadry, S. N. Kumar, C. Agees Kumar, T. Jarin, Sujatha Krishnamoorthy, Priyan Malarvizhi Kumar, Gokulnath Chandra Babu, N. Senthil Murugan, Parthasarathy   +11 more
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