Senthilkumar Krishnamurthy

Employment

• Rajalakshmi Institute of Technology Assistant Professor
  2009 - Present

Education

• Anna University Guindy ME / Applied Electronics
  2007 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Condition Monitoring of Coal Mine Using Ensemble Boosted Tree Regression Model
  Lecture Notes on Data Engineering and Communications Technologies 2020 DOI: 10.1007/978-3-030-28364-3_2
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• Early and Accurate Model of Malignant Lung Nodule Detection System with Less False Positives
  Brazilian Archives of Biology and Technology 2018 DOI: 10.1590/1678-4324-2018160536
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• Lung nodule growth measurement and prediction using auto cluster seed K-means morphological segmentation and shape variance analysis
  International Journal of Biomedical Engineering and Technology 2017 DOI: 10.1504/IJBET.2017.083818
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• Lung nodule volume growth analysis and visualization through auto-cluster k-means segmentation and centroid/shape variance based false nodule elimination
  Biomedical Research (India) 2017
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• An Automatic Computerized Model for Cancerous Lung Nodule Detection from Computed Tomography Images with Reduced False Positives
  Communications in Computer and Information Science 2016 DOI: 10.1007/978-981-10-4859-3_31
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• Human facial emotion recognition through automatic clustering based morphological segmentation and shape/orientation feature analysis
  2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) 2016 DOI: 10.1109/iccic.2016.7919663
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• An Level Set Evolution Morphology Based Segmentation of Lung Nodules and False Nodule Elimination by 3D Centroid Shift and Frequency Domain DC Constant Analysis
  International Journal of u-and e-Service, Science and Technology 2016
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• Three-dimensional lung nodule segmentation and shape variance analysis to detect lung cancer with reduced false positives.
  2016 DOI: 10.1177/0954411915619951
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• Automatic lung nodule segmentation using autoseed region growing with morphological masking (ARGMM) and feature ex-traction through complete local binary pattern and microscopic information pattern
  EuroMediterranean Biomedical Journal 2015 DOI: 10.3269/1970-5492.2015.10.5
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• Texture pattern based lung nodule detection (TPLND) technique in CT images
  International Review on Computers and Software 2014
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