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Dr. Rinku Rabidas
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Cited by
Year
Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns
J Chakraborty, A Midya, R Rabidas
Expert Systems with Applications 99, 168-179, 2018
402018
Neighborhood structural similarity mapping for the classification of masses in mammograms
R Rabidas, A Midya, J Chakraborty
IEEE journal of biomedical and health informatics 22 (3), 826-834, 2017
382017
A study of different texture features based on local operator for benign-malignant mass classification
R Rabidas, A Midya, J Chakraborty, W Arif
Procedia Computer Science 93, 389-395, 2016
282016
Single image haze removal using contrast limited adaptive histogram equalization based multiscale fusion technique
K Mondal, R Rabidas, R Dasgupta
Multimedia Tools and Applications 83 (5), 15413-15438, 2024
192024
Analysis of 2D singularities for mammographic mass classification
R Rabidas, J Chakraborty, A Midya
IET Computer Vision 11 (1), 22-32, 2017
192017
Benign-malignant mass classification in mammogram using edge weighted local texture features
R Rabidas, A Midya, A Sadhu, J Chakraborty
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 491-496, 2016
152016
WDO optimized detection for mammographic masses and its diagnosis: A unified CAD system
R Laishram, R Rabidas
Applied Soft Computing 110, 107620, 2021
132021
Edge weighted local texture features for the categorization of mammographic masses
A Midya, R Rabidas, A Sadhu, J Chakraborty
Journal of Medical and Biological Engineering 38, 457-468, 2018
102018
Characterization of mammographic masses based on local photometric attributes
R Rabidas, W Arif
Multimedia Tools and Applications 79, 21967-21985, 2020
92020
A comparative study of different deep learning architectures for benign-malignant mass classification
S Kulkarni, R Rabidas
Proceedings of the 2nd International Conference on Recent Trends in Machine …, 2022
62022
Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification
R Rabidas, A Midya, J Chakraborty, A Sadhu, W Arif
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 599-604, 2018
52018
Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection
R Laishram, R Rabidas
Expert Systems with Applications 213, 118994, 2023
42023
Detection of mammographic masses using frfcm optimized by pso
R Laishram, R Rabidas
2020 13th International Congress on Image and Signal Processing, BioMedical …, 2020
42020
Enhancement of hazy images using atmospheric light estimation technique
K Mondal, R Rabidas, R Dasgupta, A Midya, J Chakraborty
Journal of Circuits, Systems and Computers 30 (05), 2150078, 2021
32021
Texture analysis of gradient images for benign-malignant mass classification
R Rabidas, A Midya, J Chakraborty, W Arif
2017 4th International Conference on Signal Processing and Integrated …, 2017
32017
Fully convolutional network for automated detection and diagnosis of mammographic masses
S Kulkarni, R Rabidas
Multimedia Tools and Applications 82 (29), 44819-44840, 2023
22023
Investigation and Improvement of VGG based Encoder-Decoder Architecture for Background Subtraction
R Rabidas, DK Ravi, S Pradhan, R Moudgollya, A Ganguly
2020 Advanced Communication Technologies and Signal Processing (ACTS), 1-6, 2020
22020
Benign–Malignant Mass Characterization Based on Multi-gradient Quinary Patterns
R Rabidas, R Laishram, A Roy
Advances in Smart Communication and Imaging Systems: Select Proceedings of …, 2021
12021
Improved switching vector median filter for removal of impulse noise from color images
A Roy, S Chandra, R Rabidas
Advances in Smart Communication and Imaging Systems: Select Proceedings of …, 2021
12021
SqueezeU-Net-based detection and diagnosis of microcalcification in mammograms
S Kulkarni, R Rabidas
Signal, Image and Video Processing 17 (2), 435-443, 2023
2023
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