microscopic images
Computerized Detection System for Acute Myelogenous Leukemia in Blood Microscopic Images
... T.Markiewicz [8] used SVM as a classifier and exploits the features of the image of the blood cells related to texture, geometry and histograms. Myeloblast is recognized with this system but the work for lymphoid series ...
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A Robust Segmentation for Malaria Parasite Detection of Thick Blood Smear Microscopic Images
... In this study, we develop malaria parasite detection from thick blood smear microscopic images obtained from various endemic places in Indonesia. The detection is performed on data containing the actual ...
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4. Analysis of Microscopic Images of Blood Cells for Detection of Leukemia
... using microscopic blood sample images. The features in microscopic images by examining changes on texture, geometry, colors and statistical analysis are used to built the system as a ...
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Fuzzy Clustering Techniques For Image Segmentation Using Microscopic Images
... 3 microscopic images, section 4 pre-processing techniques on adaptive threshold, median filter, contrast stretching, histogram equalizations, morphological operations, section 5 fuzzy c-means clustering, ...
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Acute Mylogenous Leukemia Detection Using Blood Microscopic Images
... 2) Discriminative Robust Local Binary Pattern: In this scheme, blood microscopic images are divided into regular cell grids and to obtain equitation histogram is implemented. Concatenation of the histogram ...
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Human Cell Detection in Microscopic Images through Discrete Cosine Transform and Gaussian Mixture Model
... energies of DCT coefficient in regions of frequency space corresponding to wavelet decomposition for the texture feature [9]. The energies of DCT regions are efficient in texture analysis and classification.[13][14] This ...
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Segmentation of Activated Sludge Filaments using Phase Contrast Microscopic Images
... of microscopic organisms present in the activated sludge plants, named as flocs as filaments, which are visible under ...the microscopic images of wastewater using phase contrast ...The images ...
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Recognition of Human Blood Disease on Sample Microscopic Images
... with images is for collecting data, finding the diseases, diagnose the infection or disease, control and therapy, evaluating and ...of microscopic images of blood cells, it is possible to identify ...
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A Review: Methods of Automatic Stomata Detection and Counting Through Microscopic Images of a Leaf
... On the resultant image we have seen that, stomata and some other structures of leaf were identified. To eliminate the spurious identifications we have used a simple rule where the objects having a perimeter twice larger ...
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Automated and unsupervised detection of malarial parasites in microscopic images
... Slide images were acquired using a charge coupled device (CCD) camera with different range of ...Some images had variable stain characteristics making computer-based detection more ...10 images, each ...
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An Efficient Approach To Track Rbc And Detect Blood Disease Using Blood Samples
... Xiaomin Guo and Feihong Yu introduced a method of automatic cell counting based on microscopic images [2]. To calculate adjustable lower and upper threshold value histogram information is used. For ...
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Generative adversarial networks for augmenting training data of microscopic cell images
... output images from training data and then utilize this knowledge to synthesize new, previously unseen images that come from the distribution of training ...fake images, and a generative network that ...
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In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study
... Confocal microscopic images for epithelial basement membrane dystrophy reveals four main features. Firstly, highly reflective irregular material, indicated by arrows in Fig. 10.(a), intermixed with the ...
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Automated AML Detection from Complete Blood Smear Image Using KNN Classifier
... analysing microscopic images of the blood ...in microscopic images and examine changes in texture, geometry, colour, Hausdorff Dimension and statistical ...
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Optimizing automated characterization of liver fibrosis histological images by investigating color spaces at different resolutions
... liver microscopic images is targeted: firstly, texture and color are joint attributes and should be considered for classification in order to obtain increased accuracy of results, particularly when low ...
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Adoption of M- Wallet: A way Ahead
... Image segmentation is considered the most critical step in image processing and helps to analyze, infer and make decisions especially in the medical field. Analyzing digital microscope images for earlier Acute ...
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Classification of Microscopic Cervical Cancer Images using Regional Features and HSI Model
... Expert manual identification of cervical cells for cancer detection is a time-consuming and laborious task. Due to the presence of large numbers of cells on the glass slide, the problem becomes more complex. Other ...
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Painter Symbol and Science
... PURPOSE OF THESIS The purpose of this thesis deals with the development of a twentieth century religious symbolism created through the unification of intricate microscopic images from th[r] ...
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Microscopic Image Processing Of Automated Detection And Classification For Human Cancer Cell
... (Benign – Malignant) using database 72 Benign images and 72 Malignant images. The experiments has been performing in computer type Dell, Processor Intel(R) core (TM) i5-4200 CPU @ 1.60GHz, Memory (RAM) 6.00 ...
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Prominent Features in Identifying Fibrosis in Microscopic Tissue Images
... (CT) images and microscopic Images ...in microscopic tissue images and the usage of Digital Image Processing in identifying the ...in microscopic images of ...
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