Get started
Author

Rinku Rabidas

Institution: Assam University
ORCID: 0000-0002-5460-1966
Observed ORCID: 0000-0002-5460-1966
OpenAlex ID: A5024864604
Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns
2018 · Jayasree Chakraborty, Abhishek Midya, et al. · Expert Systems with Applications · 45
Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms
2017 · Rinku Rabidas, Abhishek Midya, et al. · IEEE Journal of Biomedical and Health Informatics · 41
Single image haze removal using contrast limited adaptive histogram equalization based multiscale fusion technique
2022 · Kalimuddin Mondal, Rinku Rabidas, et al. · Multimedia Tools and Applications · 29
A Study of Different Texture Features Based on Local Operator for Benign-malignant Mass Classification
2016 · Rinku Rabidas, Abhishek Midya, et al. · Procedia Computer Science · 25
PDF
WDO optimized detection for mammographic masses and its diagnosis: A unified CAD system
2021 · Romesh Laishram, Rinku Rabidas · Applied Soft Computing · 19
Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection
2022 · Romesh Laishram, Rinku Rabidas · Expert Systems with Applications · 18
Analysis of 2D singularities for mammographic mass classification
2016 · Rinku Rabidas, Jayasree Chakraborty, et al. · IET Computer Vision · 16
Edge Weighted Local Texture Features for the Categorization of Mammographic Masses
2017 · Abhishek Midya, Rinku Rabidas, et al. · Journal of Medical and Biological Engineering · 13
An optimized ensemble classifier for mammographic mass classification
2024 · Romesh Laishram, Rinku Rabidas · Computers & Electrical Engineering · 11
Characterization of mammographic masses based on local photometric attributes
2020 · Rinku Rabidas, Wasim Arif · Multimedia Tools and Applications · 11
Benign-malignant mass classification in mammogram using edge weighted local texture features
2016 · Rinku Rabidas, Abhishek Midya, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 11
Detection of multiple abnormalities of breast cancer in mammograms using a deep dilated fully convolutional neural network
2024 · Sujata Kulkarni, Rinku Rabidas · Computers & Electrical Engineering · 10
Fully convolutional network for automated detection and diagnosis of mammographic masses
2023 · Sujata Kulkarni, Rinku Rabidas · Multimedia Tools and Applications · 10
PDF
Binary tunicate swarm algorithm based novel feature selection framework for mammographic mass classification
2024 · Romesh Laishram, Rinku Rabidas · Measurement · 7
A Comparative Study of Different Deep Learning Architectures for Benign-Malignant Mass Classification
2022 · Sujata Kulkarni, Rinku Rabidas · Lecture notes in networks and systems · 6
Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification
2018 · Rinku Rabidas, Abhishek Midya, et al. · SPIE Medical Imaging: Computer-Aided Diagnosis · 6
SqueezeU-Net-based detection and diagnosis of microcalcification in mammograms
2022 · Sujata Kulkarni, Rinku Rabidas · Signal Image and Video Processing · 5
Detection of Mammographic Masses using FRFCM Optimized by PSO
2020 · Romesh Laishram, Rinku Rabidas · International Congress on Image and Signal Processing (CISP) · 5
Enhancement of Hazy Images Using Atmospheric Light Estimation Technique
2020 · Kalimuddin Mondal, Rinku Rabidas, et al. · Journal of Circuits Systems and Computers · 5
Investigation and Improvement of VGG based Encoder-Decoder Architecture for Background Subtraction
2020 · Rinku Rabidas, Dheeraj Kr. Ravi, et al. · Advanced Communication Technologies and Signal Processing (ACTS) · 4
BI-RADS classification of breast masses based on deep contourlet features
2024 · Sujata Kulkarni, Rinku Rabidas · Multimedia Tools and Applications · 2
Texture analysis of gradient images for benign-malignant mass classification
2017 · Rinku Rabidas, Abhishek Midya, et al. · International Conference on Signal Processing and Integrated Networks (SPIN) · 2
Variance Stabilized Loss Function for Semantic Segmentation of Smaller Objects in Medical Images
2025 · Rinku Rabidas, Dibakar Malakar, et al. · IEEE Signal Processing Letters · 1
Detection of Architectural Distortion using Deep Convolutional Neural Network
2022 · Sujata Kulkarni, Rinku Rabidas · IEEE Silchar Subsection Conference (SILCON) · 1
Benign–Malignant Mass Characterization Based on Multi-gradient Quinary Patterns
2021 · Rinku Rabidas, Romesh Laishram, et al. · Lecture notes in electrical engineering · 1
Works count: 31
Citation count: 307
H-index: 11
I10-index: 13
Year
Topic
Type