Rinku Rabidas

According to our database, Rinku Rabidas authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Single image haze removal using contrast limited adaptive histogram equalization based multiscale fusion technique.

Kalimuddin Mondal, Rinku Rabidas, Rajdeep Dasgupta

Multim. Tools Appl., February, 2024

2023

Fully convolutional network for automated detection and diagnosis of mammographic masses.

Sujata Kulkarni, Rinku Rabidas

Multim. Tools Appl., December, 2023

SqueezeU-Net-based detection and diagnosis of microcalcification in mammograms.

Sujata Kulkarni, Rinku Rabidas

Signal Image Video Process., March, 2023

Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection.

Romesh Laishram, Rinku Rabidas

Expert Syst. Appl., 2023

2021

Enhancement of Hazy Images Using Atmospheric Light Estimation Technique.

Kalimuddin Mondal, Rinku Rabidas, Rajdeep Dasgupta, Abhishek Midya, Jayasree Chakraborty

J. Circuits Syst. Comput., 2021

WDO optimized detection for mammographic masses and its diagnosis: A unified CAD system.

Romesh Laishram, Rinku Rabidas

Appl. Soft Comput., 2021

2020

Characterization of mammographic masses based on local photometric attributes.

Rinku Rabidas, Wasim Arif

Multim. Tools Appl., 2020

Multi-Resolution Analysis of Edge-Texture Features for Mammographic Mass Classification.

Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Wasim Arif

J. Circuits Syst. Comput., 2020

Detection of Mammographic Masses using FRFCM Optimized by PSO.

Romesh Laishram, Rinku Rabidas

Proceedings of the 13th International Congress on Image and Signal Processing, 2020

2018

Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms.

Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty

IEEE J. Biomed. Health Informatics, 2018

Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns.

Jayasree Chakraborty, Abhishek Midya, Rinku Rabidas

Expert Syst. Appl., 2018

Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification.

Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Anup K. Sadhu, Wasim Arif

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

Analysis of 2D singularities for mammographic mass classification.

Rinku Rabidas, Jayasree Chakraborty, Abhishek Midya

IET Comput. Vis., 2017

2016

Benign-malignant mass classification in mammogram using edge weighted local texture features.

Rinku Rabidas, Abhishek Midya, Anup K. Sadhu, Jayasree Chakraborty

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016