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Improvement of Image Enhancement Technique for Mammography Images

Improvement of Image Enhancement Technique for Mammography I...

引用

2023 IEEE East-West Design and Test Symposium, EWDTS 2023

作者： Fazilov, Sh Kh Abdiyeva, Kh S. Yusupov, O.R. Research Institute for Development of Digital Technologies and Artificial Intelligence Tashkent Uzbekistan Samarkand State University Department of Software Engineering Samarkand Uzbekistan

ISBN: (纸本)9798350314847

Algorithms of medical image analysis are important in the diagnosis and detection of breast cancer at an early stage. In this research work, the issue of breast cancer detection and diagnosis using topographic map-based segmentation and machine learning methods in mammography images is considered. Image preprocessing and segmentation algorithms have been improved to solve this problem. Based on improved algorithms, classification results were obtained with SVM, Random Forest, ANN, k-NN, and Decision tree classifiers. The MIAS image dataset was used to analyze the efficiency of the developed algorithms. © 2023 IEEE.

关键词： Image enhancement

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Construction of a Quasi-Linear Ensemble of Algorithms for Diagnosing Tumors Detected from Mammography Images

Construction of a Quasi-Linear Ensemble of Algorithms for Di...

引用

2024 IEEE East-West Design and Test Symposium, EWDTS 2024

作者： Fazilov, Sh. Kh. Abdiyeva, Kh.S. Yusupov, O.R. Eshonqulov, Erali Malikov, Ziyodullo Research Institute for Development of Digital Technologies and Artificial Intelligence Tashkent Uzbekistan Samarkand State University Department of Software Engineering Samarkand Uzbekistan

ISBN: (纸本)9798331515768

For breast cancer treatment to be effective, cancers found from mammography images must be accurately and promptly diagnosed. This paper presents the construction of a quasi-linear ensemble of algorithms specifically constructed for this purpose. The suggested ensemble seeks to improve diagnostic robustness and accuracy by utilizing the advantages of several machine-learning models. Quick and accurate diagnoses are ensured by the quasi-linear ensemble's ability to efficiently compute and integrate the various model outputs. Comprehensive testing on openly accessible mammography datasets like CBIS-DDSM and MIAS shows that the suggested ensemble performs better than single algorithms and traditional ensemble techniques. Significant improvements in sensitivity, specificity, and overall diagnostic accuracy are shown by the results. © 2024 IEEE.

关键词： Lung cancer

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Large hinge width on sparse random hypergraphs

Large hinge width on sparse random hypergraphs

引用

22nd International Joint Conference on Artificial Intelligence, IJCAI 2011

作者： Liu, Tian Lin, Xiaxiang Wang, Chaoyi Su, Kaile Xu, Ke Institute of Software School of Electronics Engineering and Computer Science Peking University Beijing 100871 China State Key Laboratory of Software Development Environment Beihang University Beijing 100083 China

ISBN: (纸本)9781577355120

Consider random hypergraphs on n vertices, where each k-element subset of vertices is selected with probability p independently and randomly as a hyperedge. By sparse we mean that the total number of hyperedges is O(n) or O(n ln n). When k = 2, these are exactly the classical Erdös-Rényi random graphs G(n, p). We prove that with high probability, hinge width on these sparse random hypergraphs can grow linearly with the expected number of hyperedges. Some random constraint satisfaction problems such as Model RB and Model RD have satisfiability thresholds on these sparse constraint hypergraphs, thus the large hinge width results provide some theoretical evidence for random instances around satisfiability thresholds to be hard for a standard hinge-decomposition based algorithm. We also conduct experiments on these and other kinds of random graphs with several hundreds vertices, including regular random graphs and power law random graphs. The experimental results also show that hinge width can grow linearly with the number of edges on these different random graphs. These results may be of further interests.

关键词： Graph theory

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Adaptive Cost Aggregation in Iterative Depth Estimation for Efficient Multi-view Stereo 12th

Adaptive Cost Aggregation in Iterative Depth Estimation for...

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12th International Conference on Image and Graphics, ICIG 2023

作者： Wang, Xiang Bai, Xiao Wang, Chen School of Computer Science and Engineering State Key Laboratory of Software Development Environment Jiangxi Research Institute Beihang University Beijing China

ISBN: (纸本)9783031463075

The deep multi-view stereo (MVS) approaches generally construct 3D cost volumes to regularize and regress the depth map. These methods are limited with high-resolution outputs since the memory and time costs grow cubically as the volume resolution increases. In this paper, we presented an multi-stage iterative depth map estimation method for MVS. In our network, the cost volume is iteratively processed by lightweight 2D convolution based GRU modules, and the multi-stage coarse-to-fine structure is adopted to speed up the depth estimation process. To further improve the 3D reconstruction quality, we make improvements from two different perspectives of adaptive cost aggregation: a view-adaptive weighting module is proposed to account for the occlusion problem in cost volume fusion, and a spatial-adaptive deformable geometric feature encoding module is introduced to the cost volume feature encoding before feeding into GRUs for stronger modeling capability. Experiments on the DTU dataset demonstrated the effectiveness of the proposed network in accuracy with remarkable efficiency performance. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Iterative methods

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An Algorithm for Evaluating the Parameters Characterizing the Quality of the Image Field of the Iris by the Principal component analysis method

An Algorithm for Evaluating the Parameters Characterizing th...

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2022 International Conference on Information Science and Communications Technologies, ICISCT 2022

作者： Fazilov, Sh.Kh. Yusupov, O.R. Abdiyeva, Kh.S. Research Institute for Development of Digital Technologies and Artificial Intelligence Tashkent Uzbekistan Samarkand State University Department of Software Engineering Samarkand Uzbekistan

ISBN: (纸本)9781665472296

Image contrast, area ratio, entropy, pupil dilation measure, occlusion measure, the ratio of iris and pupil measurements, iris image processing area measurement, and eccentric distance measurements in iris image biometric identification factors affect the quality of the iris image field. This work explored the issue of quality assessment of the characteristics describing the image of the iris provided for person recognition for this purpose. A calculation of the parameters determining the quality of the eye's iris is offered. An algorithm for evaluating the quality of the iris by reducing the parameters describing the quality of the iris to a single parameter through Principal component analysis has been developed. Recommendations for the application of biometric technologies are presented. © 2022 IEEE.

关键词： Principal component analysis

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Patch-based lesion detection using deep learning method on small mammography dataset

Patch-based lesion detection using deep learning method on s...

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International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Fazilov, Sh. Kh Abdieva, Kh.S. Yusupov, O.R. Research Institute for Development of Digital Technologies and Artificial Intelligence Tashkent Uzbekistan Department of Software Engineering Samarkand State University Samarkand Uzbekistan

ISBN: (纸本)9781032669663

Traditional Computer Aided Detection (CAD) systems employed scanned films (low image quality) and were constructed with restricted computing resources, leading to a less reliable application procedure in breast cancer imaging. The issue of a small dataset is handled in this study using two strategies: i) using image patches as inputs rather than recognizing full-sized images;and (ii) employing the idea of transfer learning, which uses the skills learned during training for one task for another task that is closely related (also known as domain adaptation). In this regard, the CNN model that was recently trained is modified to identify masses in FFDM first, and then the CNN model that was previously taught to differentiate between mass and non-mass image patches in the Screen-Film Mammogram (SFM). Private datasets are utilized for this. The most prevalent type of cancer among women is breast cancer. According to estimates, 12% of women in the United States will receive a breast cancer diagnosis at some point in their lives [1]. Other studies have found that, except for melanoma skin cancer, breast cancer has the highest incidence and mortality rates of any type of cancer [2]. The World Health Organization’s most recent statistics show that the incidence of breast cancer was the highest among oncological diseases in Uzbekistan in 2018 with a death rate of 1,449, or 0.92% of all deaths [2,3]. In 1993, there were 5.3 cases of this illness per 100,000 persons, but by 1998, that number had risen to 6.1. Every year, more people with breast cancer are receiving a diagnosis. If we take the Samarkand region alone, in 2000, 154 patients with this disease were registered in the primary register, and 2019, their number reached 300. The incidence of breast cancer has increased dramatically in recent years. Most patients are referred to doctors in stages III–IV after a long delay in the establishment of screening programs, which leads to early cancer identification, which can be c

关键词： Diseases

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Quality indicators for automotive test case specifications

Quality indicators for automotive test case specifications

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2018 Combined Workshops of the German software engineering Conference, SE-WS 2018

作者： Juhnke, Katharina Tichy, Matthias Houdek, Frank Daimler AG Group Research and MBC Development Ulm Germany Ulm University Institute of Software Engineering and Programming Languages Ulm Germany

Testing is an important quality assurance activity during development of automotive software. Automotive OEMs and suppliers use test case specifications to specify, mostly informal, test cases as well as supporting information like traces to requirements. While the quality of the test case specifications has a high influence on the quality of the subsequent testing, quality of informal automotive test case specifications have not been investigated yet. In this paper, we present 7 potential quality indicators, ranging from requirement coverage to contents of a test step. The quality indicators have been identified in a case study of 816 current test case specifications specified by an OEM and suppliers. © 2018 CEUR-WS. All rights reserved.

关键词： software testing

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Comparative Analysis of Noise Reduction Filters for the Quality Enhancement of Mammography Images

Comparative Analysis of Noise Reduction Filters for the Qual...

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2024 IEEE East-West Design and Test Symposium, EWDTS 2024

作者： Fazilov, Sh. Kh. Yusupov, O.R. Abdiyeva, Kh.S. Abduraxmonov, M.S. Qodirov, A.A. Research Institute for Development of Digital Technologies and Artificial Intelligence Tashkent Uzbekistan Samarkand State University Department of Software Engineering Samarkand Uzbekistan

ISBN: (纸本)9798331515768

Enhancement of the mammography image quality is an important step for precise diagnosis and early breast cancer detection. A comparison of different noise reduction filters used on mammography images is presented in this paper. We evaluate the denoising performance of filters such as Gaussian, Median, and Adaptive median filters. In addition to qualitative assessments by qualified radiologists, the study is predicated on quantitative measures like Mean Squared Error (MSE), Discrete entropy, AMBE, (Absolute Average Brightness Error), and Peak Signal-To-Noise Ratio (PSNR). This thorough assessment offers insightful guidance on how to choose the best noise reduction methods to improve the quality of mammography images, which will ultimately contribute to more accurate breast cancer screening and diagnosis. © 2024 IEEE.

关键词： Adaptive filters

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A mapping simulation of code generation for partitioned system

A mapping simulation of code generation for partitioned syst...

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2013 2nd International Conference on Manufacturing engineering and Process, ICMEP 2013

作者： Chen, Ya Qin Ma, Dian Fu Wang, Ying Zhao, Xian Qi National Lab of Software Development Environment Institute of Advanced Computing Technology School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9783037857076

It is crucial for real-time embedded system to design and verify for a little fault may lead to a catastrophe. Architecture Analysis and Design Language (AADL) is a modeling language used to design and analysis the architecture of real-time embedded system based on Model Driven Architecture (MDA). Code generation of AADL model to codes running on the Real-time Operation System can avoid hand-writing mistakes and improve the efficiency of development. Partitioning is introduced into embedded system to control fault transmission. This paper presents a mapping approach to generate codes from AADL model for partitioned system, and the generated codes which include configuration codes and C codes will run on a partitioned platform. © (2013) Trans Tech Publications, Switzerland.

关键词： Mapping

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The application of GIS technology in the petroleum exploration

The application of GIS technology in the petroleum explorati...

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2nd Conference on Environmental Science and Information Application Technology, ESIAT 2010

作者： Wei, Lian Qinyan Dept. of Software Engineering Shenzhen Institute of Information Technology Shenzhen China Exploration and Development Research Institute SINOPEC Jianghan Oilfield Company Qianjiang China

ISBN: (纸本)9781424473885

In order to recognize the subsurface geologic body comprehensively, all kinds of ways are used synthetically in the petroleum exploration. However, most of the information obtained in the petroleum exploration is related with spatial location. If all the information mentioned above are synthetically managed and utilized by GIS technology, based on the strong GIS technology of spatial analysis and visualization expression, we can analyze and process the data came from oil field, then the exploration data, achievement map, and information management will be applied integrality, and the result is a strongly support for the decision-making in oil field exploration. Therefore, there is an extensive application of GIS technology in the realm of petroleum exploration. ©2010 IEEE.

关键词： Visualization

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