Niranjan Khandelwal

According to our database1, Niranjan Khandelwal authored at least 42 papers between 2010 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
Multimodal Medical Image Fusion Using Nonsubsampled Shearlet Transform and Smallest Uni-Value Segment Assimilating Nucleus.
Int. J. Pattern Recognit. Artif. Intell., 2022

2021
Content-based image retrieval system for HRCT lung images: assisting radiologists in self-learning and diagnosis of Interstitial Lung Diseases.
Multim. Tools Appl., 2021

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

A Screening CAD Tool for the Detection of Microcalcification Clusters in Mammograms.
J. Digit. Imaging, 2019

An improved multimodal medical image fusion scheme based on hybrid combination of nonsubsampled contourlet transform and stationary wavelet transform.
Int. J. Imaging Syst. Technol., 2019

2018
Multimodal medical image fusion using non-subsampled shearlet transform and pulse coupled neural network incorporated with morphological gradient.
Signal Image Video Process., 2018

Intensity population based unsupervised hemorrhage segmentation from brain CT images.
Expert Syst. Appl., 2018

Computer Aided Automatic Brain Segmentation from Computed Tomography Images using Multilevel Masking.
CoRR, 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

Computer Aided Diagnosis System - A Decision Support System for Clinical Diagnosis of Brain Tumours.
Int. J. Comput. Intell. Syst., 2017

Automated detection of microcalcification clusters in mammograms.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 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
Color and grey scale fusion of osseous and vascular information.
J. Comput. Sci., 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

A package-SFERCB-"Segmentation, feature extraction, reduction and classification analysis by both SVM and ANN for brain tumors".
Appl. Soft Comput., 2016

An automated lung nodule detection system for CT images using synthetic minority oversampling.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 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

2015
Detection of the nipple in mammograms with Gabor filters and the Radon transform.
Biomed. Signal Process. Control., 2015

Segmentation of interstitial lung disease patterns in HRCT images.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014
Neural Network Ensemble Based CAD System for Focal Liver Lesions from B-Mode Ultrasound.
J. Digit. Imaging, 2014

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

2013
Characterization of Primary and Secondary Malignant Liver Lesions from B-Mode Ultrasound.
J. Digit. Imaging, 2013

SVM-Based Characterization of Liver Ultrasound Images Using Wavelet Packet Texture Descriptors.
J. Digit. Imaging, 2013

Segmentation, Feature Extraction, and Multiclass Brain Tumor Classification.
J. Digit. Imaging, 2013

A Heuristic Approach to Automated Nipple Detection in Digital Mammograms.
J. Digit. Imaging, 2013

SVM-based characterisation of liver cirrhosis by singular value decomposition of GLCM matrix.
Int. J. Artif. Intell. Soft Comput., 2013

3D texture analysis of solitary pulmonary nodules using co-occurrence matrix from volumetric lung CT images.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Measurement of spiculation index in 3D for solitary pulmonary nodules in volumetric lung CT images.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

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

Automated lung field segmentation in CT images using mean shift clustering and geometrical features.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012
Automatic Detection of Pectoral Muscle Using Average Gradient and Shape Based Feature.
J. Digit. Imaging, 2012

Detection of masses in mammograms using region growing controlled by multilevel thresholding.
Proceedings of CBMS 2012, 2012

2011
Neural network based focal liver lesion diagnosis using ultrasound images.
Comput. Medical Imaging Graph., 2011

Prediction of Cirrhosis Based on Singular Value Decomposition of Gray Level Co-occurence Marix and aNneural Network Classifier.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

Multiclass Brain Tumor Classification Using GA-SVM.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

2010
Enhancement of the ultrasound images by modified anisotropic diffusion method.
Medical Biol. Eng. Comput., 2010


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