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Journal of Medical Engineering & Technology Volume 37, 2013 - Issue 4
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Research Article

A comparative study of computer-aided classification systems for focal hepatic lesions from B-mode ultrasound

Jitendra VirmaniIndian Institute of Technology -- Roorkee Roorkee, UttarakhandIndia-247667Correspondence[email protected]
,
Vinod KumarIndian Institute of Technology -- Roorkee Roorkee, UttarakhandIndia-247667
,
Naveen KalraDepartment of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research Sector-12, ChandigarhIndia-160012
&
Niranjan KhandelwalDepartment of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research Sector-12, ChandigarhIndia-160012
Pages 292-306 | Received 13 Feb 2013, Accepted 08 Apr 2013, Published online: 23 May 2013

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Vishwa Parekh & Michael A. Jacobs. (2016) Radiomics: a new application from established techniques. Expert Review of Precision Medicine and Drug Development 1:2, pages 207-226.
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Monappa Gundappa Poddar, Vinod Kumar & Yash Paul Sharma. (2015) Automated diagnosis of coronary artery diseased patients by heart rate variability analysis using linear and non-linear methods. Journal of Medical Engineering & Technology 39:6, pages 331-341.
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Articles from other publishers (39)

Kriti, S. P. S. Narula, Surneet Kaur & Ravinder Agarwal. 2024. Recent Advances in Metrology. Recent Advances in Metrology 75 84 .
Marcel Vetter, Maximilian J Waldner, Sebastian Zundler, Daniel Klett, Thomas Bocklitz, Markus F Neurath, Werner Adler & Daniel Jesper. (2023) Artificial intelligence for the classification of focal liver lesions in ultrasound – a systematic review. Ultraschall in der Medizin - European Journal of Ultrasound 44:04, pages 395-407.
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馨瑶 王. (2023) Application Value of Ultasound-Based Radiomics in the Diagnosis and Treatment of Hepatocellular Carcinoma. Advances in Clinical Medicine 13:11, pages 18386-18391.
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Kriti, Jitendra Virmani & Ravinder Agarwal. (2021) A Characterization Approach for the Review of CAD Systems Designed for Breast Tumor Classification Using B-Mode Ultrasound Images. Archives of Computational Methods in Engineering 29:3, pages 1485-1523.
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Diksha Puri, Abhinav Kumar, Jitendra Virmani & Kriti. (2019) Classification of leaves of medicinal plants using laws’ texture features. International Journal of Information Technology 14:2, pages 931-942.
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Kriti, Jitendra Virmani & Ravinder Agarwal. (2020) A Review of Segmentation Algorithms Applied to B-Mode Breast Ultrasound Images: A Characterization Approach. Archives of Computational Methods in Engineering 28:4, pages 2567-2606.
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Yashvi Chandola, Jitendra Virmani, H.S. Bhadauria & Papendra Kumar. 2021. Deep Learning for Chest Radiographs. Deep Learning for Chest Radiographs 59 115 .
Rafid Mostafiz, Mohammad Rahman, A. Islam & Saeid Belkasim. (2020) Focal Liver Lesion Detection in Ultrasound Image Using Deep Feature Fusions and Super Resolution. Machine Learning and Knowledge Extraction 2:3, pages 172-191.
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Kriti, Jitendra Virmani & Ravinder Agarwal. (2019) Effect of despeckle filtering on classification of breast tumors using ultrasound images. Biocybernetics and Biomedical Engineering 39:2, pages 536-560.
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Fatih Özyurt, Türker Tuncer, Engin Avci, Mustafa Koç & İhsan Serhatlioğlu. (2018) A Novel Liver Image Classification Method Using Perceptual Hash-Based Convolutional Neural Network. Arabian Journal for Science and Engineering 44:4, pages 3173-3182.
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Indrajeet Kumar, Jitendra Virmani, H.S. Bhadauria & Shruti Thakur. 2019. Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis. Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis 129 151 .
M.G. Poddar, Anjali C. Birajdar, Jitendra Virmani & Kriti. 2019. Machine Learning in Bio-Signal Analysis and Diagnostic Imaging. Machine Learning in Bio-Signal Analysis and Diagnostic Imaging 99 125 .
M.B. Subramanya, Jitendra Virmani & Kriti. 2019. Machine Learning in Bio-Signal Analysis and Diagnostic Imaging. Machine Learning in Bio-Signal Analysis and Diagnostic Imaging 53 72 .
Shrestha Bansal, Gaurav Chhabra, B. Sarat Chandra, Kriti & Jitendra Virmani. 2019. U-Healthcare Monitoring Systems. U-Healthcare Monitoring Systems 289 314 .
Heminder Kaur, Jitendra Virmani, Kriti & Shruti Thakur. 2019. U-Healthcare Monitoring Systems. U-Healthcare Monitoring Systems 217 259 .
Nimisha Manth, Kriti & Jitendra Virmani. 2019. U-Healthcare Monitoring Systems. U-Healthcare Monitoring Systems 119 146 .
Nivedita Neogi, Arunabha Adhikari & Madhusudan Roy. 2019. Advanced Informatics for Computing Research. Advanced Informatics for Computing Research 239 248 .
Jitendra Virmani, Kriti & Shruti Thakur. 2019. Software Engineering. Software Engineering 185 191 .
Ashok Kumar Dohare, Vinod Kumar & Ritesh Kumar. (2018) Detection of myocardial infarction in 12 lead ECG using support vector machine. Applied Soft Computing 64, pages 138-147.
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Madan Lal & Lakhwinder Kaur. 2018. Sensors and Image Processing. Sensors and Image Processing 131 138 .
Kriti, Jitendra Virmani & Ravinder Agarwal. 2018. Classification in BioApps. Classification in BioApps 105 131 .
Kriti, Jitendra Virmani & Ravinder Agarwal. (2017) Characterization of breast tumors using selected laws' mask texture features. Characterization of breast tumors using selected laws' mask texture features.
Kriti Harleen Kaur & Jitendra Virmani. 2017. Hybrid Intelligence for Image Analysis and Understanding. Hybrid Intelligence for Image Analysis and Understanding 391 422 .
Nishant Jain & Vinod Kumar. (2017) Alpha-trimmed first order statistics for the classification of liver US images. Alpha-trimmed first order statistics for the classification of liver US images.
Jyoti Rawat, Annapurna Singh, H. S. Bhadauria, Jitendra Virmani & J. S. Devgun. (2017) Classification of acute lymphoblastic leukaemia using hybrid hierarchical classifiers. Multimedia Tools and Applications 76:18, pages 19057-19085.
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Yufei Chen, Xiaodong Yue, Hamido Fujita & Siyuan Fu. (2017) Three-way decision support for diagnosis on focal liver lesions. Knowledge-Based Systems 127, pages 85-99.
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Mohamed Yaseen Jabarulla & Heung-No Lee. (2017) Computer aided diagnostic system for ultrasound liver images: A systematic review. Optik 140, pages 1114-1126.
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Komal Sharma & Jitendra Virmani. (2017) A Decision Support System for Classification of Normal and Medical Renal Disease Using Ultrasound Images. International Journal of Ambient Computing and Intelligence 8:2, pages 52-69.
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Nivedita Neogi, Arunabha Adhikari & Madhusudan Roy. (2016) Anisotropy of the texture in the ultra-sonogram of human livers. Anisotropy of the texture in the ultra-sonogram of human livers.
Jitendra Virmani & Kriti. 2016. Proceedings of the Second International Conference on Computer and Communication Technologies. Proceedings of the Second International Conference on Computer and Communication Technologies 539 546 .
Kriti & Jitendra Virmani. 2016. Medical Imaging in Clinical Applications. Medical Imaging in Clinical Applications 107 130 .
Kriti, Jitendra Virmani & Shruti Thakur. 2016. Image Feature Detectors and Descriptors. Image Feature Detectors and Descriptors 411 435 .
Nimisha Manth, Jitendra Virmani, Vinod Kumar, Naveen Kalra & Niranjan Khandelwal. 2016. Image Feature Detectors and Descriptors. Image Feature Detectors and Descriptors 385 409 .
Kriti, Jitendra Virmani, Nilanjan Dey & Vinod Kumar. 2016. Applications of Intelligent Optimization in Biology and Medicine. Applications of Intelligent Optimization in Biology and Medicine 159 180 .
Abhinav Krishn, Vikrant Bhateja, Himanshi & Akanksha Sahu. 2015. Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014 475 482 .
Indrajeet Kumar, H.S Bhadauria, Jitendra Virmani & Jyoti Rawat. (2014) Reduction of speckle noise from medical images using principal component analysis image fusion. Reduction of speckle noise from medical images using principal component analysis image fusion.
Lejla Alic, Wiro J. Niessen & Jifke F. Veenland. (2014) Quantification of Heterogeneity as a Biomarker in Tumor Imaging: A Systematic Review. PLoS ONE 9:10, pages e110300.
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Jitendra Virmani, Vinod Kumar, Naveen Kalra & Niranjan Khandelwal. (2014) Neural Network Ensemble Based CAD System for Focal Liver Lesions from B-Mode Ultrasound. Journal of Digital Imaging 27:4, pages 520-537.
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Petr Pancoska & Brian I. Carr. (2014) Macro- and Micro-environmental Factors in Clinical Hepatocellular Cancer. Seminars in Oncology 41:2, pages 185-194.
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