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pro vyhledávání: '"Virk, Jitender Singh"'
Medical imaging datasets are inherently high dimensional with large variability and low sample sizes that limit the effectiveness of deep learning algorithms. Recently, generative adversarial networks (GANs) with the ability to synthesize realist ima
Externí odkaz:
http://arxiv.org/abs/2108.02160
Limited availability of annotated medical imaging data poses a challenge for deep learning algorithms. Although transfer learning minimizes this hurdle in general, knowledge transfer across disparate domains is shown to be less effective. On the othe
Externí odkaz:
http://arxiv.org/abs/2005.11746
Autor:
Virk, Jitender Singh1 (AUTHOR) jitender.singh@thapar.edu, Singh, Mandeep1 (AUTHOR), Panjwani, Usha2 (AUTHOR), Ray, Koushik2 (AUTHOR)
Publikováno v:
Sensors (14248220). Apr2023, Vol. 23 Issue 8, p4129. 16p.
Autor:
Virk, Jitender Singh1 (AUTHOR), Singh, Mandeep1 (AUTHOR) mdsingh@thapar.edu, Panjwani, Usha2 (AUTHOR), Ray, Koshik2 (AUTHOR), Malik, Hasmat (AUTHOR), Chaudhary, Gopal (AUTHOR), Srivastava, Smriti (AUTHOR)
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2022, Vol. 42 Issue 2, p1223-1233. 11p.