Rinku Rabidas

Orcid: 0000-0002-5460-1966

According to our database1, Rinku Rabidas authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Single image haze removal using contrast limited adaptive histogram equalization based multiscale fusion technique.
Multim. Tools Appl., February, 2024

An optimized ensemble classifier for mammographic mass classification.
Comput. Electr. Eng., 2024

Detection of multiple abnormalities of breast cancer in mammograms using a deep dilated fully convolutional neural network.
Comput. Electr. Eng., 2024

2023
Fully convolutional network for automated detection and diagnosis of mammographic masses.
Multim. Tools Appl., December, 2023

SqueezeU-Net-based detection and diagnosis of microcalcification in mammograms.
Signal Image Video Process., March, 2023

Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection.
Expert Syst. Appl., 2023

2021
Enhancement of Hazy Images Using Atmospheric Light Estimation Technique.
J. Circuits Syst. Comput., 2021

WDO optimized detection for mammographic masses and its diagnosis: A unified CAD system.
Appl. Soft Comput., 2021

2020
Characterization of mammographic masses based on local photometric attributes.
Multim. Tools Appl., 2020

Multi-Resolution Analysis of Edge-Texture Features for Mammographic Mass Classification.
J. Circuits Syst. Comput., 2020

Detection of Mammographic Masses using FRFCM Optimized by PSO.
Proceedings of the 13th International Congress on Image and Signal Processing, 2020

2018
Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms.
IEEE J. Biomed. Health Informatics, 2018

Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns.
Expert Syst. Appl., 2018

Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Analysis of 2D singularities for mammographic mass classification.
IET Comput. Vis., 2017

2016
Benign-malignant mass classification in mammogram using edge weighted local texture features.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016


  Loading...