Reference Hub

This research has been cited in:

Article
Enhanced DWT Filtering Technique for Brain Tumor DetectionIETE Journal of Research10.1080/03772063.2019.1656555
Article
Examination of the ECG signal classification technique DEA-ELM using deep convolutional neural network featuresMultimedia Tools and Applications10.1007/s11042-021-10517-8
Article
Implementation of Fuzzy C-Means (FCM) Clustering Based Camouflage Image Generation AlgorithmIEEE Access10.1109/ACCESS.2021.3108803
Article
MES-Net: a new network for retinal image segmentationMultimedia Tools and Applications10.1007/s11042-021-10580-1
Article
Segmentation and Feature Extraction in Medical Imaging: A Systematic ReviewProcedia Computer Science10.1016/j.procs.2020.03.179
Conference
Breast Cancer Detection using Intuitionistic Fuzzy Histogram Hyperbolization and Possibilitic Fuzzy c-mean Clustering algorithms with texture feature based Classification on Mammography ImagesProceedings of the International Conference on Advances in Information Communication Technology & Computing - AICTC '1610.1145/2979779.2979800
Article
A neighborhood-based three-stage hierarchical clustering algorithmMultimedia Tools and Applications10.1007/s11042-021-11171-w
Article
An Intuitionistic Kernel-Based Fuzzy C-Means Clustering Algorithm With Local Information for Power Equipment Image SegmentationIEEE Access10.1109/ACCESS.2019.2963444
Article
Content-based image retrieval algorithm for nuclei segmentation in histopathology imagesMultimedia Tools and Applications10.1007/s11042-020-09797-3
Article
A textile fabric classification framework through small motions in videosMultimedia Tools and Applications10.1007/s11042-020-10085-3
Article
A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational ClassifierComputational Intelligence and Neuroscience10.1155/2022/3236305
Article
False Financial Statement Identification Based on Fuzzy C-Means AlgorithmComplexity10.1155/2021/5522894
Conference
On temperature soft sensor model of rotary kiln burning zone based on RS-LSSVM2017 36th Chinese Control Conference (CCC)10.23919/ChiCC.2017.8028894
Article
Lane Determination of Vehicles Based on a Novel Clustering Algorithm for Intelligent Traffic MonitoringIEEE Access10.1109/ACCESS.2020.2983872
Article
Brain tumor classification by using a novel convolutional neural network structureInternational Journal of Imaging Systems and Technology10.1002/ima.22763
Article
Automated brain tumor detection and classification using weighted fuzzy clustering algorithm, deep auto encoder with barnacle mating algorithm and random forest classifier techniquesInternational Journal of Imaging Systems and Technology10.1002/ima.22582
Chapter
Breast Cancer Prediction Using Intuitionistic Fuzzy Set with Analytical Hierarchy Process with Delphi MethodProceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences10.1007/978-981-16-5747-4_54
Article
An effective detection and classification of road damages using hybrid deep learning frameworkMultimedia Tools and Applications10.1007/s11042-022-14001-9
Article
A neuro-fuzzy based healthcare framework for disease analysis and predictionMultimedia Tools and Applications10.1007/s11042-022-12369-2
Article
An Improved K-Means Algorithm Based on Fuzzy MetricsIEEE Access10.1109/ACCESS.2020.3040745
Article
Mammogram pectoral muscle removal and classification using histo-sigmoid based ROI clustering and SDNNMultimedia Tools and Applications10.1007/s11042-022-12599-4
Article
Rough computing — A review of abstraction, hybridization and extent of applicationsEngineering Applications of Artificial Intelligence10.1016/j.engappai.2020.103924
Article
Confidence Level Aggregation Operators Based on Intuitionistic Fuzzy Rough Sets With Application in Medical DiagnosisIEEE Access10.1109/ACCESS.2023.3236410
Article
Medical images classification using deep learning: a surveyMultimedia Tools and Applications10.1007/s11042-023-15576-7
Article
Early diagnosis model of Alzheimer’s Disease based on sparse logistic regressionMultimedia Tools and Applications10.1007/s11042-020-09738-0
Chapter
A Novel Noise Removal Technique Influenced by Deep Convolutional Autoencoders on MammogramsDeep Learning in Data Analytics10.1007/978-3-030-75855-4_2
Article
Binary differential evolution with self learning and deep neural network for breast cancer classificationConcurrency and Computation: Practice and Experience10.1002/cpe.6951
Chapter
Intuitionistic Fuzzy Rough Sets: Theory to PracticeMathematics in Computational Science and Engineering10.1002/9781119777557.ch4
Article
Mutual information-based filter hybrid feature selection method for medical datasets using feature clusteringMultimedia Tools and Applications10.1007/s11042-023-15143-0
Chapter
Fuzzy-Rough Optimization Technique for Breast Cancer ClassificationApplied Analysis, Optimization and Soft Computing10.1007/978-981-99-0597-3_30
Article
Hybrid Active Contour Mammographic Mass Segmentation and ClassificationComputer Systems Science and Engineering10.32604/csse.2022.018837
Article
Pectoral muscle removal using entropy fuzzy clustering and RCM-CNN based mammography classificationInternational Journal of Information Technology10.1007/s41870-023-01308-5
Article
A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPUElectronics10.3390/electronics9020219
Article
Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical dataNeural Computing and Applications10.1007/s00521-022-07916-9
Article
An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM AlgorithmSensors10.3390/s20143903
Conference
An Upper and Lower Approximation Reasoning Method Based on Conditional Intuitionistic Fuzzy Triangle Norm2021 33rd Chinese Control and Decision Conference (CCDC)10.1109/CCDC52312.2021.9602463
Article
Analysis of medical rescue strategies based on a rough set and genetic algorithm: A disaster classification perspectiveInternational Journal of Disaster Risk Reduction10.1016/j.ijdrr.2019.101325
Article
Clustering Algorithm in Possibilistic Exponential Fuzzy C-Mean Segmenting Medical ImagesJournal of Biomimetics, Biomaterials and Biomedical Engineering10.4028/www.scientific.net/JBBBE.30.12
Article
Measurement Data Fusion Based on Optimized Weighted Least-Squares Algorithm for Multi-Target TrackingIEEE Access10.1109/ACCESS.2019.2894641
Article
A Novel QoS Prediction Model for Web Services Based on an Adaptive Neuro-Fuzzy Inference System Using COOT OptimizationIEEE Access10.1109/ACCESS.2024.3350642
Article
Fuzzy clustering‐based image segmentation techniques used to segment magnetic resonance imaging/computed tomography scan brain tissues: Comparative analysisInternational Journal of Imaging Systems and Technology10.1002/ima.22439
Article
A Medical Image Segmentation Method With Anti-Noise and Bias-Field CorrectionIEEE Access10.1109/ACCESS.2020.2996603
Article
A Fuzzy Rough Feature Selection Framework for Investors Behavior Towards Gold Exchange-Traded FundInternational Journal of Business Analytics10.4018/IJBAN.2019040103
Chapter
Application of Object Recognition With Shape-Index Identification and 2D Scale Invariant Feature Transform for Key-Point DetectionFeature Dimension Reduction for Content-Based Image Identification10.4018/978-1-5225-5775-3.ch012
Article
A Framework for Ranking Hospitals Based on Customer Perception Using Rough Set and Soft Set TechniquesInternational Journal of Healthcare Information Systems and Informatics10.4018/IJHISI.2020010103
Chapter
Breast Cancer Detection Using Hybrid Computational Intelligence TechniquesResearch Anthology on Medical Informatics in Breast and Cervical Cancer10.4018/978-1-6684-7136-4.ch022
Article
A Novel Approach for the Customer Segmentation Using Clustering Through Self-Organizing MapInternational Journal of Business Analytics10.4018/IJBAN.2019040102
Chapter
To What Extent Can Multidisciplinary Artificial Intelligence Applications Enhance Higher Education?Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence10.4018/978-1-6684-5673-6.ch011
Chapter
Breast Cancer Detection Using Hybrid Computational Intelligence TechniquesHandbook of Research on Emerging Perspectives on Healthcare Information Systems and Informatics10.4018/978-1-5225-5460-8.ch011
Article
A Novel Hybrid Approach for Chronic Disease ClassificationInternational Journal of Healthcare Information Systems and Informatics10.4018/IJHISI.2020010101

A Hybrid Scheme for Breast Cancer Detection using Intuitionistic Fuzzy Rough Set Technique

Chiranji Lal Chowdhary, D. P. Acharjya

Source Title: International Journal of Healthcare Information Systems and Informatics (IJHISI)11(2)

ISSN: 1555-3396|EISSN: 1555-340X|EISBN13: 9781466689619|DOI: 10.4018/IJHISI.2016040103

Cite Article Cite Article

MLA

Chowdhary, Chiranji Lal, and D. P. Acharjya. "A Hybrid Scheme for Breast Cancer Detection using Intuitionistic Fuzzy Rough Set Technique." IJHISI vol.11, no.2 2016: pp.38-61. http://doi.org/10.4018/IJHISI.2016040103

APA

Chowdhary, C. L. & Acharjya, D. P. (2016). A Hybrid Scheme for Breast Cancer Detection using Intuitionistic Fuzzy Rough Set Technique. International Journal of Healthcare Information Systems and Informatics (IJHISI), 11(2), 38-61. http://doi.org/10.4018/IJHISI.2016040103

Chicago

Chowdhary, Chiranji Lal, and D. P. Acharjya. "A Hybrid Scheme for Breast Cancer Detection using Intuitionistic Fuzzy Rough Set Technique," International Journal of Healthcare Information Systems and Informatics (IJHISI) 11, no.2: 38-61. http://doi.org/10.4018/IJHISI.2016040103

Export Reference

Favorite Full-Issue Download

View Full Text HTML

View Full Text PDF

Abstract

Diagnosis of cancer is of prime concern in recent years. Medical imaging is used to analyze these diseases. But, these images contain uncertainties due to various factors and thus intelligent techniques are essential to process these uncertainties. This paper hybridizes intuitionistic fuzzy set and rough set in combination with statistical feature extraction techniques. The hybrid scheme starts with image segmentation using intuitionistic fuzzy set to extract the zone of interest and then to enhance the edges surrounding it. Further feature extraction using gray-level co-occurrence matrix is presented. Additionally, rough set is used to engender all minimal reducts and rules. These rules then fed into a classifier to identify different zones of interest and to check whether these points contain decision class value as either cancer or not. The experimental analysis shows the overall accuracy of 98.3% and it is higher than the accuracy achieved by hybridizing fuzzy rough set model.

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.

Username or email: *

Password: *

Forgot individual login password?

Create individual account

A Hybrid Scheme for Breast Cancer Detection using Intuitionistic Fuzzy Rough Set Technique

MLA

APA

Chicago

Export Reference

Abstract

Request Access