Zobrazeno 1 - 10
of 365
pro vyhledávání: '"Shriram, K."'
Promptable foundation models, particularly Segment Anything Model (SAM), have emerged as a promising alternative to the traditional task-specific supervised learning for image segmentation. However, many evaluation studies have found that their perfo
Externí odkaz:
http://arxiv.org/abs/2310.17128
Autor:
Bhuvaneswari Ramakrishnan, Akshay, Sridevi, M., Vasudevan, Shriram K., Manikandan, R., Gandomi, Amir H.
Publikováno v:
In Informatics in Medicine Unlocked 2024 44
Autor:
Akshay Bhuvaneswari Ramakrishnan, M. Sridevi, Shriram K. Vasudevan, R. Manikandan, Amir H. Gandomi
Publikováno v:
Informatics in Medicine Unlocked, Vol 44, Iss , Pp 101436- (2024)
A brain tumour is a malignant condition that spreads extremely quickly and requires rapid detection. In recent years, it has become apparent that deep learning is a promising technique for classifying brain tumours. To identify these tumours, this wo
Externí odkaz:
https://doaj.org/article/7a55e2947eff46099711b0eb054a1806
Autor:
Tan, Tao, Das, Bipul, Soni, Ravi, Fejes, Mate, Ranjan, Sohan, Szabo, Daniel Attila, Melapudi, Vikram, Shriram, K S, Agrawal, Utkarsh, Rusko, Laszlo, Herczeg, Zita, Darazs, Barbara, Tegzes, Pal, Ferenczi, Lehel, Mullick, Rakesh, Avinash, Gopal
The COVID-19 pandemic continues to spread and impact the well-being of the global population. The front-line modalities including computed tomography (CT) and X-ray play an important role for triaging COVID patients. Considering the limited access of
Externí odkaz:
http://arxiv.org/abs/2011.05186
Publikováno v:
Digest Journal of Nanomaterials & Biostructures (DJNB). Jan-Mar2024, Vol. 19 Issue 1, p229-241. 13p.