Search Results - "Krishnan, M. Muthu"

Atherosclerotic Risk Stratification Strategy for Carotid Arteries Using Texture-Based Features by Acharya, U. Rajendra, Vinitha Sree, S, Muthu Rama Krishnan, M, Molinari, Filippo, Saba, Luca, Ho, Sin Yee Stella, Ahuja, Anil T, Ho, Suzanne C, Nicolaides, Andrew, Suri, Jasjit S

“…Abstract Plaques in the carotid artery result in stenosis, which is one of the main causes for stroke. Patients have to be carefully selected for stenosis…”
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Non-invasive automated 3D thyroid lesion classification in ultrasound: A class of ThyroScan™ systems by Rajendra Acharya, U., Vinitha Sree, S., Muthu Rama Krishnan, M., Molinari, Filippo, Garberoglio, Roberto, Suri, Jasjit S.

“…► In this study we have developed automatic, real-time on-line CAD-based paradigm for thyroid nodule classification. ► We proposed novel grayscale feature…”
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Automated diagnosis of epilepsy using CWT, HOS and texture parameters by Acharya, U Rajendra, Yanti, Ratna, Zheng, Jia Wei, Krishnan, M Muthu Rama, Tan, Jen Hong, Martis, Roshan Joy, Lim, Choo Min

“…Epilepsy is a chronic brain disorder which manifests as recurrent seizures. Electroencephalogram (EEG) signals are generally analyzed to study the…”
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Characterization of the Aluminium Matrix Composite Reinforced with Silicon Nitride (AA6061/Si3N4) Synthesized by the Stir Casting Route by Kumar, B. Ashok, Krishnan, M. Muthu, Sahayaraj, A. Felix, Refaai, Mohamad Reda A., Yuvaraj, G., Madhesh, D., Allasi, Haiter Lenin

“…The current work is concerned with the synthesis of aluminium (AA6061-T6) matrix composites (AMCs) reinforced with 15 and 20 weight percentages of silicon…”
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Computer‐Aided Diagnostic System for Detection of Hashimoto Thyroiditis on Ultrasound Images From a Polish Population by Acharya, U. Rajendra, Sree, S. Vinitha, Krishnan, M. Muthu Rama, Molinari, Filippo, ZieleŸnik, Witold, Bardales, Ricardo H., Witkowska, Agnieszka, Suri, Jasjit S.

“…Objectives Computer‐aided diagnostic (CAD) techniques aid physicians in better diagnosis of diseases by extracting objective and accurate diagnostic…”
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Automated Screening of Arrhythmia Using Wavelet Based Machine Learning Techniques by Martis, Roshan Joy, Krishnan, M. Muthu Rama, Chakraborty, Chandan, Pal, Sarbajit, Sarkar, Debranjan, Mandana, K. M., Ray, Ajoy Kumar

“…Arrhythmia is one of the preventive cardiac problems frequently occurs all over the globe. In order to screen such disease at early stage, this work attempts…”
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Effect of post-weld heat treatment on dissimilar friction stir welded AA6063 and A319 aluminium alloys by Krishnan, M. Muthu, Marimuthu, K.

“…The effects of post-weld heat treatment at a solution temperature of 540 °C for 5 hrs 30 mins followed by ageing at 190 °C for 6 hrs on microstructure and…”
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Plaque Tissue Characterization and Classification in Ultrasound Carotid Scans: A Paradigm for Vascular Feature Amalgamation by Rajendra Acharya, U., Muthu Rama Krishnan, M., Vinitha Sree, S., Sanches, J., Shafique, S., Nicolaides, A., Pedro, L. M., Suri, J. S.

“…The selection of carotid atherosclerosis patients for surgery or stenting is a crucial task in atherosclerosis disease management. In order to select only…”
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Ovarian Tumor Characterization using 3D Ultrasound by Acharya, U. Rajendra, Sree, S. Vinitha, Krishnan, M. Muthu Rama, Saba, Luca, Molinari, Filippo, Guerriero, Stefano, Suri, Jasjit S.

“…Among gynecological malignancies, ovarian cancer is the most frequent cause of death. Preoperative determination of whether a tumor is benign or malignant has…”
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Textural characterization of histopathological images for oral sub-mucous fibrosis detection by Muthu Rama Krishnan, M, Shah, Pratik, Choudhary, Anirudh, Chakraborty, Chandan, Paul, Ranjan Rashmi, Ray, Ajoy K

“…Abstract In the field of quantitative microscopy, textural information plays a significant role very often in tissue characterization and diagnosis, in…”
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Automated classification of patients with coronary artery disease using grayscale features from left ventricle echocardiographic images by Acharya, U. Rajendra, Sree, S. Vinitha, Muthu Rama Krishnan, M, Krishnananda, N, Ranjan, Shetty, Umesh, Pai, Suri, Jasjit S

“…Abstract Coronary Artery Disease (CAD), caused by the buildup of plaque on the inside of the coronary arteries, has a high mortality rate. To efficiently…”
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Ensemble selection for feature-based classification of diabetic maculopathy images by Chowriappa, Pradeep, Dua, Sumeet, Rajendra Acharya, U, Muthu Rama Krishnan, M

“…Abstract As diabetic maculopathy (DM) is a prevalent cause of blindness in the world, it is increasingly important to use automated techniques for the early…”
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Statistical Analysis of Textural Features for Improved Classification of Oral Histopathological Images by Muthu Rama Krishnan, M., Shah, Pratik, Chakraborty, Chandan, Ray, Ajoy K.

“…The objective of this paper is to provide an improved technique, which can assist oncopathologists in correct screening of oral precancerous conditions…”
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Effect of AEE788 and/or Celecoxib on colon cancer cell morphology using advanced microscopic techniques by Venkatesan, P., Das, Soumen, Krishnan, M. Muthu Rama, Chakraborty, Chandan, Chaudhury, Koel, Mandal, Mahitosh

“…Analysis of changes in cancer cell morphology and cytoskeletal element induced by external stimuli is focus of current cancer chemotherapeutic studies. Cancer…”
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Prediction of optimum welding parameters for FSW of aluminium alloys AA6063 and A319 using RSM and ANN by Muthu Krishnan, M., Maniraj, J., Deepak, R., Anganan, K.

“…Friction stir welding (FSW) is an innovative solid state joining technique and has been employed in industries for joining aluminum, magnesium, zinc and copper…”
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Texture based segmentation of epithelial layer from oral histological images by Muthu Rama Krishnan, M., Choudhary, Anirudh, Chakraborty, Chandan, Ray, Ajoy K., Paul, Ranjan R.

“…► In this study we provide a texture based epithelial layer segmentation algorithm. ► Accurate segmentation is important for clinician to make a diagnostic…”
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Computer Vision Approach to Morphometric Feature Analysis of Basal Cell Nuclei for Evaluating Malignant Potentiality of Oral Submucous Fibrosis by Muthu Rama Krishnan, M., Pal, Mousumi, Paul, Ranjan Rashmi, Chakraborty, Chandan, Chatterjee, Jyotirmoy, Ray, Ajoy K.

“…This research work presents a quantitative approach for analysis of histomorphometric features of the basal cell nuclei in respect to their size, shape and…”
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Automated classification of cells in sub-epithelial connective tissue of oral sub-mucous fibrosis—An SVM based approach by Muthu Rama Krishnan, M, Pal, Mousumi, Bomminayuni, Suneel K, Chakraborty, Chandan, Paul, Ranjan Rashmi, Chatterjee, Jyotirmoy, Ray, Ajoy K

“…Abstract Quantitative evaluation of histopathological features is not only vital for precise characterization of any precancerous condition but also crucial in…”
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Automated oral cancer identification using histopathological images: A hybrid feature extraction paradigm by Krishnan, M. Muthu Rama, Venkatraghavan, Vikram, Acharya, U. Rajendra, Pal, Mousumi, Paul, Ranjan Rashmi, Min, Lim Choo, Ray, Ajoy Kumar, Chatterjee, Jyotirmoy, Chakraborty, Chandan

“…► Accurate screening of OSF biopsy images is important for prognosis, treatment planning. ► The proposed approach is to grade the oral histopathological tissue…”
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Structural markers for normal oral mucosa and oral sub-mucous fibrosis by Muthu Rama Krishnan, M., Shah, Pratik, Pal, Mousumi, Chakraborty, Chandan, Paul, Ranjan Rashmi, Chatterjee, Jyotirmoy, Ray, Ajoy K.

“…This article presents a quantitative approach for the characterization of normal oral mucosa (NOM) in respect to thickness and textural properties of its…”
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