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Developments in Segmentation of Abdominal Liver CT Images for Cancer and Other Disease Lesion Detection

Hariharan S
2019 Annals of Advanced Biomedical Sciences  
Segmentation is one of the most important and widely used methods in medical image analysis.  ...  This work is an effort for bringing out clinical information from liver images of computed tomography based on image processing.  ...  Kerala, India for providing the CT images of liver.  ... 
doi:10.23880/aabsc-16000114 fatcat:7tpeqjrsfzhsjn5c3v6oy6iwt4

Efficient Segmentation and Classification of Mammogram Images with Fuzzy Filtering

T. Venkat Narayana Rao, A. Govardhan
2015 Indian Journal of Science and Technology  
Hence, classification of patients based on the size of the tumor/ abnormal masses and less treatment cost must be high priority.  ...  Important factors were drawn from the images for subsequent investigation and analysis with the help of Fuzzy Enhanced Mammogram Segmentation scheme.  ...  Vol 8 (15) | July 2015 | www.indjst.org for the diagnosis of abnormal tumors or masses. In future this work can be extended for classification, identification. References  ... 
doi:10.17485/ijst/2015/v8i15/70061 fatcat:vqb5tgybfza2vmszjjarvhxfsu

A New CAD System for Breast Microcalcifications Diagnosis

H. Boulehmi, H. Mahersia, K. Hamrouni
2016 International Journal of Advanced Computer Science and Applications  
The proposed approach begins with a preprocessing procedure aiming artifacts and pectoral muscle removal based on morphologic operators and contrast enhancement based on galactophorous tree interpolation  ...  Breast cancer is one of the most deadly cancers in the world, especially among women.  ...  Preeti proposed in [1] malignant/ benign microcalcifications classification approach based on wavelet analysis.  ... 
doi:10.14569/ijacsa.2016.070417 fatcat:bwwmnntdizh5poc5y5whfm2ziy

Power Quality Classification of disturbances using Discrete Wavelet Packet Transform (DWPT) with Adaptive Neuro-Fuzzy System

K.RamaMohana Reddy Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
In order to overcome this problem, this paper presents Discrete Packet Wavelet Transform-Kalman filter based Adaptive Neuro-Fuzzy approach for identification and classification of PQ events.  ...  The proposed method is Implemented and tested using MATLAB and it provides more accuracy when compared to the existing systems such as Discrete Wavelet Transform based Fuzzy Logic Adaptive System and Fourier  ...  a unique method for classification of power quality disturbances based on discrete wavelet packet transform with adaptive neuro fuzzy system.  ... 
doi:10.17762/turcomat.v12i3.1995 fatcat:plqdhwmsoje67ehak7gob56wem

An Enhanced ILD Diagnosis Method using DWT

Viji P. S
2013 IOSR Journal of Computer Engineering  
Wavelet edge enhancement and vessel enhancement filtering comprises the first stage of the algorithm. Vessel enhancement filtering uses the Eigen values of the Hessian of the image.  ...  Segmenting the arteries and veins from the image is one of the major steps in analyzing the medical image.  ...  The authors are grateful to all the supports and advices from the reviewers of the project.  ... 
doi:10.9790/0661-131128133 fatcat:bfasf7g3qrfdve4wlmkryloznm

Defect Classification in Fabric Web Material using LabVIEW

G. Revathy, P. Vidhyalakshmi
2013 International Journal of Computer Applications  
No.of samples No of defect images No of defect identified Fuzzy Rule Based Method 50 40 39 Table 5 5 Classification Results Inspection Method No of Sample Images No of  ...  The set of rules in a fuzzy expert system is known as the rule base or knowledge base. Fuzzy Logic system consists of three steps namely fuzzification, fuzzy inference method, defuzzification.  ... 
doi:10.5120/10570-5665 fatcat:3ee7ucjy4bd7pboq2y72vn4aba

A Three Decades of Marvellous Significant Review of Power Quality Events Regarding Detection & Classification

Mian Khuram Ahsan, Tianhong Pan, Zhengming Li
2018 Journal of Power and Energy Engineering  
It's planned to make a possible list for quick reference to obtain an extensive variety on the condition & status of available research for detection and classification for young engineers, designers and  ...  classification of power quality disturbances.  ...  Classification Based on Neuro-Fuzzy System The information handling such as imperfect, vague, partial or managed imprecise is one of the biggest advantages of Neuro-fuzzy based methods.  ... 
doi:10.4236/jpee.2018.68001 fatcat:5a7ubwe75jae3ouaylucyq5zca

Real-time image processing systems using fuzzy and rough sets techniques

Gwanggil Jeon, Marco Anisetti, Ernesto Damiani, Olivier Monga
2018 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
This special issue is intended to provide a highly recognized international forum to presenting innovative developments of fuzzy set applications in real-time image processing systems.  ...  In this special issue, we focus on how extract valuable information in real time from images which are incomplete, noisy, imprecise, fragmentary, vague, contradictory, deficient, and overloaded, and refine  ...  Acknowledgements We would like to express our appreciation to all the authors for their informative contributions and the reviewers for their support and constructive critiques in making this special issue possible  ... 
doi:10.1007/s00500-017-2999-3 fatcat:tlq5qkje6rei7cjots7i7qqzqu

Power quality event classification: an overview and key issues

D Saxena, K Verma, S Singh
2010 International Journal of Engineering, Science and Technology  
Power quality (PQ) issue has attained considerable attention in the last decade due to large penetration of power electronics based loads and/or microprocessor based controlled loads.  ...  This paper presents a comprehensive overview of different techniques used for PQ events' classifications.  ...  Acknowledgement Dipti Saxena is grateful to the CM and Director, Invertis Institute of Engineering and Technology, Bareilly for permitting her to carry our PhD work from UP Technical University, Lucknow  ... 
doi:10.4314/ijest.v2i3.59190 fatcat:cc5q2qqfj5cppen272bs26j3zu

Scope and Prospects of Non-Invasive Visual Inspection Systems for Industrial Applications

Zainul Abdin Jaffery, Ashwani Kumar Dubey
2016 Indian Journal of Science and Technology  
be used for other similar inspections, on the other hand, the conventional methods such as: statistical approach and neural network based approach are reliable, flexible, and generalizable.  ...  The main processes involved in a visual inspection system are: image acquisition, image de-noising, image enhancement, image segmentation, image feature selection and extraction, image classification,  ...  Gabor filter based classification and detection is also one of the best methods for classification 38 .  ... 
doi:10.17485/ijst/2016/v9i4/80067 fatcat:4wtz3xr2z5bdnguuiwwfxu362y

Similarity and wavelet transform based data partitioning and parameter learning for fuzzy neural network

Pramoda Patro, Krishna Kumar, G. Suresh Kumar, Gandharba Swain
2020 Journal of King Saud University: Computer and Information Sciences  
Then classification is done by using enhanced neural network including intuitive and interpretable correlated-contours fuzzy rules (EC-FR).  ...  According to fuzzy rules extraction, an appropriate framework is built-in which similarity-based directional component of data partitioning and also a model to form cloud data is presented.  ...  Based on wavelet filter output they are assigned. So, it is possible to train fuzzy neural network in a parallel manner.  ... 
doi:10.1016/j.jksuci.2020.06.003 fatcat:q4x5guvohvdc7hphvtrpfvxyom

Breast cancer MRI diagnosis approach using support vector machine and pulse coupled neural networks

Aboul Ella Hassanien, Tai-hoon Kim
2012 Journal of Applied Logic  
The introduced approach starts with an algorithm based on type-II fuzzy sets to enhance the contrast of the input images.  ...  This article introduces a hybrid approach that combines the advantages of fuzzy sets, pulse coupled neural networks (PCNNs), and support vector machine, in conjunction with wavelet-based feature extraction  ...  This paper is an extended version of SOCO 2011 conference paper. The authors thank anonymous reviewers for their very useful comments and suggestions.  ... 
doi:10.1016/j.jal.2012.07.003 fatcat:yr75twjffrbktf7db464h5swaa

An overview of rough-hybrid approaches in image processing

Aboul Ella Hassanien, Ajith Abraham, James F. Peters, Gerald Schaefer
2008 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)  
, and the classification of objects.  ...  Consequently, rough sets have been successfully employed for various image processing tasks including image segmentation, enhancement and classification.  ...  Algorithms based on fuzzy image processing are first applied to enhance the contrast of the original image; to extract the region of interest and to enhance the edges surrounding that region.  ... 
doi:10.1109/fuzzy.2008.4630665 dblp:conf/fuzzIEEE/HassanienAPS08 fatcat:yyjkgiklkjbevcwl42crlzh5ee

Image processing techniques for the segmentation of cervical cancer

T. S. Poornappriya, R. Gopinath
2022 International Journal of Health Sciences  
The most prevalent type of cancer in women worldwide is uterine cervical cancer.  ...  This study presents a novel framework that combines image enhancement, pre-processing, and image segmentation to identify cervical cancer.  ...  a 2D image are the focus of image enhancing techniques based on curvelet transforms.  ... 
doi:10.53730/ijhs.v6ns5.11640 fatcat:v3dr3b7h4jgwdjxivwxyayw67i

The Identification of EGFR Mutation Based on the CT Image of Lung Adenocarcinoma

Ting-Chen Tsan, Hao-Hung Tsai, Chiun-Li Chin
2016 International Journal of Information and Electronics Engineering  
Finally we use Neuro-fuzzy based AdaBoost to classify and identify the relationship between the texture features of lung adenocarcinoma CT images and EGFR mutations.  ...  We segment the whole region of lung adenocarcinoma and extract the texture features in spatial domain and frequency domain using GLCM and Gabor Wavelet.  ...  Fuzzy theory is based on fuzzy set.  ... 
doi:10.18178/ijiee.2016.6.5.637 fatcat:72iufxyla5hojjujtbfo5ct3p4
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