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Predication of Most Significant Features in Medical Image by Utilized CNN and Heatmap.
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The growth of developments in machine learning, the image processing methods along with availability of the medical imaging data are taking a big increase in the utilization of machine learning strategies in the medical area. The utilization of neural networks, mainly, in recent days, the convolutional neural networks (CNN), have powerful descriptors for computer added diagnosis systems. Even so, there are several issues when work with medical images in which many of medical images possess a low-quality noise-to-signal (NSR) ratio compared to scenes obtained with a digital camera, that generally qualified a confusingly low spatial resolution and tends to make the contrast between different tissues of body are very low and it difficult to computed and recognized dependably. In this paper, we target to utilized CNN and heatmap to recognized most significant features that the network should focus on it. depending on class activation mapping. The goal of this study is to develop an approach that can determine the most significant features from medical images (such as x-ray, CT, MRI) through gradient the different tissue accurately by made use of heatmap. In our model, we take the gradient with regard to the final convolutional layer and after that weigh it towards the output of this layer. The model is based upon class activation mapping. However, the model is differed from traditional activation mapping based methods, that this model is the dependent on gradients via obtaining the weight of all activation map via make use of it is forward passing score over target class, then the final result is apart from linear combination of activation and weights. The results appears that the model is successfully distortion heat map of tissues in various medical image techniques and obtained better visual accuracy and fairness for interpretation the decision-making procedure.

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Publication Date
Fri May 17 2013
Journal Name
International Journal Of Computer Applications
Fast Lossless Compression of Medical Images based on Polynomial
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In this paper, a fast lossless image compression method is introduced for compressing medical images, it is based on splitting the image blocks according to its nature along with using the polynomial approximation to decompose image signal followed by applying run length coding on the residue part of the image, which represents the error caused by applying polynomial approximation. Then, Huffman coding is applied as a last stage to encode the polynomial coefficients and run length coding. The test results indicate that the suggested method can lead to promising performance.

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Publication Date
Tue Dec 20 2022
Journal Name
2022 International Conference On Computer And Applications (icca)
Smart Healthcare Medical Bracelet using the Internet of Things
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Publication Date
Sun Aug 22 2021
Journal Name
Iraqi Journal Of Agricultural Sciences
STUDY OF FRUITS MORPHOLOGICAL FEATURES FOR 33 SPECIES BELONG TO CRUCIFERAE FAMILY IN IRAQ
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The research was aimed to identify fruits morphological characteristics of 33 taxa belonging to the Lepidieae tribe from Brassicaceae. The characteristics of the fruit's general shape, apex shape, dimensions, colors, surface ornamentation, and beak were determined, the results indicated the importance of each of those characters in isolated species, In general, all the tribe's fruits were open capsule and short silicula. According to the dimensions of fruit, three species can be distinguished as a group with dimensions greater than 20mm, as in Brossardia, Coluteocarpus, and Didymophysa, and depending on the shape, it was possible to differentiate the species within this group, while the other species were less than 20 mm. in dimensi

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Publication Date
Tue Aug 02 2022
Journal Name
Dirasat: Human And Social Sciences
Denotation of Narrative Features in Television Advertising (A Semiotic Approach to Mr. President's Declaration)
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The research summarizes the knowledge of the dimensions and denotations of T.V advertisement; and its constituents for building it through the semiotic approach of an ad sample represented by the announcement of Zain Kuwait Telecom Company which carries the title "Mr. President" using Roland Barth's approach, starting with the designation, implicit, and linguistic reading to reach the narrative features and their denotations. That makes television advertising as a semiotic and pragmatic discourse in view of the still and motion picture with its efficiency and strength to inform and communicate. And what lies in it of aesthetic, artistic elements; informational and effective power in influencing the recipients by focusing on narratives and a

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Publication Date
Mon Dec 28 2020
Journal Name
Journal Of The College Of Education For Women
Pre-Islamic Features in the Poetry of Al-Raei Al-Nawmiri: أسيل عبود جاسم
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This research is dedicated to study Al-Ra’ee Al-Numayri, a distinctive poetic character, to find out the most important (artistic) pre-Islamic features that contributed to its formation. It is further dedicated to know the influence of these features on his literature in the literary arena. After surveying his poetic texts and reading them according to the analytical and investigative methods, the art of the researcher was limited to the  field of  traditionalists. He was following the footsteps of the ancients by adhering to the traditional Arabic poetry style and the traditional poetic image. Despite that, he had his own imprints and  unique style of interrogating times and places with its people, animals and plants. H

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Publication Date
Mon Mar 25 2019
Journal Name
Al-academy
The Expressionistic Features in the Drawings of Artist Abdul Razzaq Yasser: محمد فهمي عباس
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To understand what the arts in general, and plastic arts in particular, have to do, it is necessary to know how they perform, not only that, but also to know their history, which we should understand at least in general terms. Which in turn gives an image of the standards of taste prevailing in each age, and some of the social and historical relationship of each era, and the cultural expression of that era, which is shown in the arts. We need to understand that the arts of each stage, although different from each other, yet remain interrelated in what we see through the effects that appear through the succession of times, which creates certain artistic traditions, inherited by one generation after the other. The research in this field de

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Publication Date
Fri Jan 01 2021
Journal Name
Indonesian Journal Of Electrical Engineering And Computer Science
BotDetectorFW: an optimized botnet detection framework based on five features-distance measures supported by comparisons of four machine learning classifiers using CICIDS2017 dataset
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<p><span>A Botnet is one of many attacks that can execute malicious tasks and develop continuously. Therefore, current research introduces a comparison framework, called BotDetectorFW, with classification and complexity improvements for the detection of Botnet attack using CICIDS2017 dataset. It is a free online dataset consist of several attacks with high-dimensions features. The process of feature selection is a significant step to obtain the least features by eliminating irrelated features and consequently reduces the detection time. This process implemented inside BotDetectorFW using two steps; data clustering and five distance measure formulas (cosine, dice, driver &amp; kroeber, overlap, and pearson correlation

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Publication Date
Sun Apr 17 2016
Journal Name
Al-academy
Expressionism in painting contemporary in Iraq Study features formalism: عبد الرزاق جبار رحيل الكناني
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In the present research is marked (expressive drawing in contemporary Iraq, the study of morphological features) eating expressive as the direction of modern art in the drawing for the period before and after World Wars I and II. And follow the tracks. And in research and investigation about the origins and sources and characteristics of expressionist painting at adult patrons and art gatherings, and the extent of their impact in the drawing for contemporary Iraqi sixties and seventies generation (generation of professors) and down to the younger generation in the eighties of the last century. Over the nearly two decades of history of fine movement in Iraq, a period specified in the search within the limits of temporal boundaries, and by

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Publication Date
Wed Dec 01 2021
Journal Name
Baghdad Science Journal
Using Fuzzy Clustering to Detect the Tumor Area in Stomach Medical Images
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Although the number of stomach tumor patients reduced obviously during last decades in western countries, but this illness is still one of the main causes of death in developing countries. The aim of this research is to detect the area of a tumor in a stomach images based on fuzzy clustering. The proposed methodology consists of three stages. The stomach images are divided into four quarters and then features elicited from each quarter in the first stage by utilizing seven moments invariant. Fuzzy C-Mean clustering (FCM) was employed in the second stage for each quarter to collect the features of each quarter into clusters. Manhattan distance was calculated in the third stage among all clusters' centers in all quarters to disclosure of t

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Publication Date
Mon Oct 07 2024
Journal Name
Научный форум:
FEATURES OF TRANSLATION OF POLYSEMANTIC VERBS FROM RUSSIAN INTO ARABIC
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