Mandeep Garg

Orcid: 0000-0002-4714-6299

According to our database1, Mandeep Garg authored at least 13 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2019
Content-Based Image Retrieval System for Pulmonary Nodules Using Optimal Feature Sets and Class Membership-Based Retrieval.
J. Digit. Imaging, 2019

2018
Localization of lung fields in HRCT images using a deep convolution neural network.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Content-Based Image Retrieval System for Pulmonary Nodules: Assisting Radiologists in Self-Learning and Diagnosis of Lung Cancer.
J. Digit. Imaging, 2017

A study of retrieval accuracy of pulmonary nodules based on external attachment.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

An experimental study of interstitial lung tissue classification in HRCT images using ANN and role of cost functions.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Erratum to: A Segmentation Framework of Pulmonary Nodules in Lung CT Images.
J. Digit. Imaging, 2016

A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images.
J. Digit. Imaging, 2016

Quantitative evaluation of margin sharpness of pulmonary nodules in lung CT images.
IET Image Process., 2016

Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images.
Int. J. Comput. Assist. Radiol. Surg., 2016

Differentiation of several interstitial lung disease patterns in HRCT images using support vector machine: role of databases on performance.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Classification of pulmonary nodules in lung CT images using shape and texture features.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2014
Wavelet based rotation invariant texture feature for lung tissue classification and retrieval.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013
Content-based image retrieval for interstitial lung diseases using classification confidence.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013


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