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pro vyhledávání: '"Ganguly, Soham"'
Autor:
Chattopadhyay, Soumitri, Ganguly, Soham, Chaudhury, Sreejit, Nag, Sayan, Chattopadhyay, Samiran
Privacy and annotation bottlenecks are two major issues that profoundly affect the practicality of machine learning-based medical image analysis. Although significant progress has been made in these areas, these issues are not yet fully resolved. In
Externí odkaz:
http://arxiv.org/abs/2303.05556
Autor:
Chattopadhyay, Soumitri, Ganguly, Soham, Chaudhury, Sreejit, Nag, Sayan, Chattopadhyay, Samiran
The success of self-supervised learning (SSL) has mostly been attributed to the availability of unlabeled yet large-scale datasets. However, in a specialized domain such as medical imaging which is a lot different from natural images, the assumption
Externí odkaz:
http://arxiv.org/abs/2303.02245
Autor:
Ganguly, Soham
Publikováno v:
Rupkatha Journal on Interdisciplinary Studies in Humanities; 2016, Vol. 8 Issue 3, p53-60, 8p
Autor:
Ganguly, Soham
Publikováno v:
Rupkatha Journal on Interdisciplinary Studies in Humanities; 2015, Vol. 7 Issue 1, p91-97, 7p