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Shouvik Chakraborty

Showing results (1-10 of 9) with videos related to

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Expert Systems with Applications|December 20, 2021
SuFMoFPA: A superpixel and meta-heuristic based fuzzy image segmentation approach to explicate COVID-19 radiological imagesShouvik Chakraborty, Kalyani Mali
Expert Systems with Applications|April 26, 2021
SUFMACS: A machine learning-based robust image segmentation framework for COVID-19 radiological image interpretationShouvik Chakraborty, Kalyani Mali
Applied Soft Computing|September 20, 2022
SUFEMO: A superpixel based fuzzy image segmentation method for COVID-19 radiological image elucidationShouvik Chakraborty, Kalyani Mali
Applied Soft Computing|February 9, 2022
A radiological image analysis framework for early screening of the COVID-19 infection: A computer vision-based approachShouvik Chakraborty, Kalyani Mali
Applied Soft Computing|October 26, 2020
Fuzzy Electromagnetism Optimization (FEMO) and its application in biomedical image segmentationShouvik Chakraborty, Kalyani Mali
Biomedical Signal Processing and Control|May 25, 2021
A morphology-based radiological image segmentation approach for efficient screening of COVID-19Shouvik Chakraborty, Kalyani Mali
IEEE Transactions on Fuzzy Systems : a Publication of the IEEE Neural Networks Council|November 8, 2022
An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 From Radiological ImagesWeiping Ding, Shouvik Chakraborty, Kalyani Mali, et al.
Microscopy Research and Technique|May 31, 2017
Modified cuckoo search algorithm in microscopic image segmentation of hippocampusShouvik Chakraborty, Sankhadeep Chatterjee, Nilanjan Dey, et al.
Nature Communications|August 14, 2025
Overcoming five key challenges to make the energy transition a just labor transitionLuis Fernández Intriago, Sharan Burrow, Shouvik Chakraborty, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Expert Systems with Applications|December 20, 2021
SuFMoFPA: A superpixel and meta-heuristic based fuzzy image segmentation approach to explicate COVID-19 radiological imagesShouvik Chakraborty, Kalyani Mali
Expert Systems with Applications|April 26, 2021
SUFMACS: A machine learning-based robust image segmentation framework for COVID-19 radiological image interpretationShouvik Chakraborty, Kalyani Mali
Applied Soft Computing|September 20, 2022
SUFEMO: A superpixel based fuzzy image segmentation method for COVID-19 radiological image elucidationShouvik Chakraborty, Kalyani Mali
Applied Soft Computing|February 9, 2022
A radiological image analysis framework for early screening of the COVID-19 infection: A computer vision-based approachShouvik Chakraborty, Kalyani Mali
Applied Soft Computing|October 26, 2020
Fuzzy Electromagnetism Optimization (FEMO) and its application in biomedical image segmentationShouvik Chakraborty, Kalyani Mali
Biomedical Signal Processing and Control|May 25, 2021
A morphology-based radiological image segmentation approach for efficient screening of COVID-19Shouvik Chakraborty, Kalyani Mali
IEEE Transactions on Fuzzy Systems : a Publication of the IEEE Neural Networks Council|November 8, 2022
An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 From Radiological ImagesWeiping Ding, Shouvik Chakraborty, Kalyani Mali, et al.
Microscopy Research and Technique|May 31, 2017
Modified cuckoo search algorithm in microscopic image segmentation of hippocampusShouvik Chakraborty, Sankhadeep Chatterjee, Nilanjan Dey, et al.
Nature Communications|August 14, 2025
Overcoming five key challenges to make the energy transition a just labor transitionLuis Fernández Intriago, Sharan Burrow, Shouvik Chakraborty, et al.
Pageof 1