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Journal Articles
- 2024
[j13]Romesh Laishram
, Rinku Rabidas:
An optimized ensemble classifier for mammographic mass classification. Comput. Electr. Eng. 119: 109488 (2024)- [j12]Sujata Kulkarni, Rinku Rabidas:
Detection of multiple abnormalities of breast cancer in mammograms using a deep dilated fully convolutional neural network. Comput. Electr. Eng. 120: 109662 (2024) - [j11]Kalimuddin Mondal, Rinku Rabidas, Rajdeep Dasgupta:
Single image haze removal using contrast limited adaptive histogram equalization based multiscale fusion technique. Multim. Tools Appl. 83(5): 15413-15438 (2024) - 2023
- [j10]Romesh Laishram, Rinku Rabidas:
Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection. Expert Syst. Appl. 213(Part): 118994 (2023) - [j9]Sujata Kulkarni, Rinku Rabidas:
Fully convolutional network for automated detection and diagnosis of mammographic masses. Multim. Tools Appl. 82(29): 44819-44840 (2023) - [j8]Sujata Kulkarni, Rinku Rabidas:
SqueezeU-Net-based detection and diagnosis of microcalcification in mammograms. Signal Image Video Process. 17(2): 435-443 (2023) - 2021
- [j7]Romesh Laishram, Rinku Rabidas:
WDO optimized detection for mammographic masses and its diagnosis: A unified CAD system. Appl. Soft Comput. 110: 107620 (2021) - [j6]Kalimuddin Mondal, Rinku Rabidas, Rajdeep Dasgupta, Abhishek Midya, Jayasree Chakraborty:
Enhancement of Hazy Images Using Atmospheric Light Estimation Technique. J. Circuits Syst. Comput. 30(5): 2150078:1-2150078:25 (2021) - 2020
- [j5]Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Wasim Arif:
Multi-Resolution Analysis of Edge-Texture Features for Mammographic Mass Classification. J. Circuits Syst. Comput. 29(10): 2050156:1-2050156:19 (2020) - [j4]Rinku Rabidas, Wasim Arif:
Characterization of mammographic masses based on local photometric attributes. Multim. Tools Appl. 79(29-30): 21967-21985 (2020) - 2018
- [j3]Jayasree Chakraborty, Abhishek Midya, Rinku Rabidas:
Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns. Expert Syst. Appl. 99: 168-179 (2018) - [j2]Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty:
Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms. IEEE J. Biomed. Health Informatics 22(3): 826-834 (2018) - 2017
- [j1]Rinku Rabidas, Jayasree Chakraborty, Abhishek Midya:
Analysis of 2D singularities for mammographic mass classification. IET Comput. Vis. 11(1): 22-32 (2017)
Conference and Workshop Papers
- 2020
- [c3]Romesh Laishram, Rinku Rabidas:
Detection of Mammographic Masses using FRFCM Optimized by PSO. CISP-BMEI 2020: 327-332 - 2018
- [c2]Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Anup K. Sadhu, Wasim Arif:
Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification. Medical Imaging: Computer-Aided Diagnosis 2018: 105752N - 2016
- [c1]Rinku Rabidas, Abhishek Midya, Anup K. Sadhu, Jayasree Chakraborty:
Benign-malignant mass classification in mammogram using edge weighted local texture features. Medical Imaging: Computer-Aided Diagnosis 2016: 97851X
Coauthor Index
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