Rajendra S. Sonawane

According to our database, Rajendra S. Sonawane authored at least 15 papers between 2015 and 2024.

Collaborative distances:

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

2024

Objective scoring of psoriasis area and severity index in 2D RGB images using deep learning.

Ritesh Raj, Narendra D. Londhe, Rajendra S. Sonawane

Multim. Tools Appl., August, 2024

Overcomplete U-Net Networks for Psoriasis Detection in Digital Color Images.

Aruna Kumari Kovvuru, Narendra D. Londhe, Ritesh Raj, Rajendra S. Sonawane

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

PsLSNetV2: End to end deep learning system for measurement of area score of psoriasis regions in color images.

Ritesh Raj, Narendra D. Londhe, Rajendra S. Sonawane

Biomed. Signal Process. Control., 2023

2021

Automated psoriasis lesion segmentation from unconstrained environment using residual U-Net with transfer learning.

Ritesh Raj, Narendra D. Londhe, Rajendra S. Sonawane

Comput. Methods Programs Biomed., 2021

2020

Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis.

Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Vimal K. Shrivastava, Rajendra S. Sonawane

Comput. Biol. Chem., 2020

A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment.

Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ritesh Raj, Rajendra S. Sonawane

Appl. Soft Comput., 2020

Automatic Psoriasis Lesion Segmentation from Raw Color Images using Deep Learning.

Ritesh Raj, Narendra D. Londhe, Rajendra S. Sonawane

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network.

Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ashish Semwal, Rajendra S. Sonawane

Biomed. Signal Process. Control., 2019

2017

A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification.

Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri

Comput. Methods Programs Biomed., 2017

2016

Reliability analysis of psoriasis decision support system in principal component analysis framework.

Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri

Data Knowl. Eng., 2016

Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind.

Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri

Comput. Methods Programs Biomed., 2016

A novel approach to multiclass psoriasis disease risk stratification: Machine learning paradigm.

Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri

Biomed. Signal Process. Control., 2016

2015

Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm.

Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri

Expert Syst. Appl., 2015

Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm.

Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri

Comput. Biol. Medicine, 2015

First review on psoriasis severity risk stratification: An engineering perspective.

Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri

Comput. Biol. Medicine, 2015