Anjan Gudigar

发表

Kernel Based Automatic Traffic Sign Detection and Recognition Using SVM

Anjan Gudigar, B. N. Jagadale, P. K. Mahesh, 2012, ICECCS 2012.

Design of Intelligent System for Traffic Sign Detection and Recognition

Anjan Gudigar, 2018 .

Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound images

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2017, Neural Computing and Applications.

Local texture patterns for traffic sign recognition using higher order spectra

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2017, Pattern Recognit. Lett..

A Novel Face Recognition Method Using PCA, LDA and Support Vector Machine

Anjan Gudigar, U. Raghavendra, P. K. Mahesh, 2012 .

Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2019, Future Gener. Comput. Syst..

Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2016, Comput. Biol. Medicine.

An efficient traffic sign recognition based on graph embedding features

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2017, Neural Computing and Applications.

A review on automatic detection and recognition of traffic sign

Anjan Gudigar, Shreesha Chokkadi, U. Raghavendra, 2014, Multimedia Tools and Applications.

Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2018, Comput. Biol. Medicine.

A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images

Anjan Gudigar, U Rajendra Acharya, Edward J Ciaccio, 2019, Journal of Medical Systems.

Automated Detection of Lung Nodules Using HOG Technique with Chest X-Ray Images

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2018, New Trends in Software Methodologies, Tools and Techniques.

Automated Characterization of Breast Cancer Using Steerable Filters

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2017, SoMeT.

Multiple thresholding and subspace based approach for detection and recognition of traffic sign

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2017, Multimedia Tools and Applications.

Automated Categorization of Multi-Class Brain Abnormalities Using Decomposition Techniques With MRI Images: A Comparative Study

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2019, IEEE Access.

Local Preserving Class Separation Framework to Identify Gestational Diabetes Mellitus Mother Using Ultrasound Fetal Cardiac Image

Anjan Gudigar, Filippo Molinari, U. Rajendra Acharya, 2020, IEEE Access.

An integrated index for breast cancer identification using histogram of oriented gradient and kernel locality preserving projection features extracted from thermograms

Anjan Gudigar, U. Raghavendra, E. Y. K. Ng, 2016 .

Fusion of spatial gray level dependency and fractal texture features for the characterization of thyroid lesions

Anjan Gudigar, Hamido Fujita, Filippo Molinari, 2017, Ultrasonics.

Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2016, Inf. Fusion.

A novel hybrid approach for automated detection of retinal detachment using ultrasound images

Anjan Gudigar, U. Rajendra Acharya, Filippo Molinari, 2020, Comput. Biol. Medicine.

2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer

Anjan Gudigar, U. Rajendra Acharya, Edward J. Ciaccio, 2019, Expert Syst. J. Knowl. Eng..

Automated system for the detection of thoracolumbar fractures using a CNN architecture

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2018, Future Gener. Comput. Syst..

Automated technique for coronary artery disease characterization and classification using DD-DTDWT in ultrasound images

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2018, Biomed. Signal Process. Control..

Global weighted LBP based entropy features for the assessment of pulmonary hypertension

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2019, Pattern Recognit. Lett..

Novel expert system for glaucoma identification using non-parametric spatial envelope energy spectrum with fundus images

Anjan Gudigar, Sulatha V. Bhandary, U. Rajendra Acharya, 2017 .

An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition technique

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2018, Medical & Biological Engineering & Computing.

Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2018, Inf. Sci..

Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2016, Appl. Soft Comput..

A Novel and Efficient Technique to Generate Secured Biometric Key Using Cryptography

Anjan Gudigar, P. K. Mahesh, 2011 .

Brain pathology identification using computer aided diagnostic tool: A systematic review

Anjan Gudigar, U. Rajendra Acharya, Edward J. Ciaccio, 2019, Comput. Methods Programs Biomed..

Computer-aided diagnosis for the identification of breast cancer using thermogram images: A comprehensive review

Anjan Gudigar, U. Rajendra Acharya, Edward J. Ciaccio, 2019, Infrared Physics & Technology.

Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images

Anjan Gudigar, U. Raghavendra, Hamido Fujita, 2020, Journal of Ambient Intelligence and Humanized Computing.

A Review on Computer Aided Diagnosis of Acute Brain Stroke

Anjan Gudigar, Edward J. Ciaccio, Kang Hao Cheong, 2021, Sensors.

Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images

Anjan Gudigar, U. Raghavendra, Filippo Molinari, 2021, Biomed. Signal Process. Control..

Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals

Anjan Gudigar, U. Raghavendra, Edward J. Ciaccio, 2021, Expert Syst. J. Knowl. Eng..