Niranjan Khandelwal
According to our database1,
Niranjan Khandelwal
authored at least 42 papers
between 2010 and 2022.
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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
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
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
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
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
J. Comput. Sci., 2016
J. Digit. Imaging, 2016
A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images.
J. Digit. Imaging, 2016
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, 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, 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, 2016
2015
Biomed. Signal Process. Control., 2015
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, San Diego, 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
J. Digit. Imaging, 2013
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
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
Proceedings of the 2011 Developments in E-systems Engineering, 2011
2010
Medical Biol. Eng. Comput., 2010