Rinku Rabidas

18 papers Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
BI-RADS classification of breast masses based on deep contourlet features.
Multim. Tools Appl.
Sujata Kulkarni, Rinku Rabidas
2025 J jnl
Variance Stabilized Loss Function for Semantic Segmentation of Smaller Objects in Medical Images.
IEEE Signal Process. Lett.
Rinku Rabidas, Dibakar Malakar, Joyita Bhattacharjee, Sandeep Mandia, Jayasree Chakraborty
2024 J jnl
An optimized ensemble classifier for mammographic mass classification.
Comput. Electr. Eng.
Romesh Laishram, Rinku Rabidas
2024 J jnl
Detection of multiple abnormalities of breast cancer in mammograms using a deep dilated fully convolutional neural network.
Comput. Electr. Eng.
Sujata Kulkarni, Rinku Rabidas
2024 J jnl
Single image haze removal using contrast limited adaptive histogram equalization based multiscale fusion technique.
Multim. Tools Appl.
Kalimuddin Mondal, Rinku Rabidas, Rajdeep Dasgupta
2023 J jnl
Fully convolutional network for automated detection and diagnosis of mammographic masses.
Multim. Tools Appl.
Sujata Kulkarni, Rinku Rabidas
2023 J jnl
Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection.
Expert Syst. Appl.
Romesh Laishram, Rinku Rabidas
2023 J jnl
SqueezeU-Net-based detection and diagnosis of microcalcification in mammograms.
Signal Image Video Process.
Sujata Kulkarni, Rinku Rabidas
2021 J jnl
Enhancement of Hazy Images Using Atmospheric Light Estimation Technique.
J. Circuits Syst. Comput.
Kalimuddin Mondal, Rinku Rabidas, Rajdeep Dasgupta, Abhishek Midya, Jayasree Chakraborty
2021 J jnl
WDO optimized detection for mammographic masses and its diagnosis: A unified CAD system.
Appl. Soft Comput.
Romesh Laishram, Rinku Rabidas
2020 J jnl
Characterization of mammographic masses based on local photometric attributes.
Multim. Tools Appl.
Rinku Rabidas, Wasim Arif
2020 — conf
Detection of Mammographic Masses using FRFCM Optimized by PSO.
CISP-BMEI
Romesh Laishram, Rinku Rabidas
2020 J jnl
Multi-Resolution Analysis of Edge-Texture Features for Mammographic Mass Classification.
J. Circuits Syst. Comput.
Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Wasim Arif
2018 J jnl
Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns.
Expert Syst. Appl.
Jayasree Chakraborty, Abhishek Midya, Rinku Rabidas
2018 — conf
Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification.
Computer-Aided Diagnosis
Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Anup K. Sadhu, Wasim Arif
2018 J jnl
Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms.
IEEE J. Biomed. Health Informatics
Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty
2017 J jnl
Analysis of 2D singularities for mammographic mass classification.
IET Comput. Vis.
Rinku Rabidas, Jayasree Chakraborty, Abhishek Midya
2016 — conf
Benign-malignant mass classification in mammogram using edge weighted local texture features.
Computer-Aided Diagnosis
Rinku Rabidas, Abhishek Midya, Anup K. Sadhu, Jayasree Chakraborty