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Jhilam Mukherjee
Jhilam Mukherjee
Visiting Post doctorate fellow , University of Calcutta
Verified email at caluniv.ac.in
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Cited by
Cited by
Year
Variability of Cobb angle measurement from digital X-ray image based on different de-noising techniques
J Mukherjee, R Kundu, A Chakrabarti
International Journal of Biomedical Engineering and Technology 16 (2), 113-134, 2014
162014
Automatic detection and classification of solitary pulmonary nodules from lung CT images
J Mukherjee, A Chakrabarti, SH Shaikh, M Kar
2014 Fourth International Conference of Emerging Applications of Information …, 2014
152014
A soft-computing based approach towards automatic detection of pulmonary nodule
J Mukherjee, M Kar, A Chakrabarti, S Das
Biocybernetics and Biomedical Engineering 40 (3), 1036-1051, 2020
92020
A Comparative Analysis of Image Segmentation Techniques Toward Automatic Risk Prediction of Solitary Pulmonary Nodules
J Mukherjee, SH Shaikh, M Kar, A Chakrabarti
Advanced Computing and Systems for Security: Volume 1, 159-179, 2016
42016
An automated classification methodology of sub-centimeter pulmonary structures in computed tomography images
J Mukherjee, T Poddar, M Kar, B Ganguli, A Chakrabarti, S Das
Computers & Electrical Engineering 84, 106629, 2020
22020
A novel technique for contrast enhancement of chest X-ray images based on bio-inspired meta-heuristics
J Mukherjee, B Sikdar, A Chakrabarti, M Kar, S Das
Advanced Computing and Systems for Security: Volume Five, 71-93, 2018
22018
Artificial Intelligence is Poised to be a Premier Player in the Future of Health Care
M Kar, J Mukherjee
Bengal Physician Journal 10 (2), 47-49, 2023
2023
A Clinically Applicable Automated Risk Classification Model for Pulmonary Nodules
T Poddar, J Mukherjee, B Ganguli, M Kar, A Chakrabarti
Data Management, Analytics and Innovation: Proceedings of ICDMAI 2019 …, 2020
2020
Development of an automated lung nodule risk prediction model from radiological images
J Mukherjee
Kolkata, 0
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