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pro vyhledávání: '"Dutta, Pallabi"'
The advancement of developing efficient medical image segmentation has evolved from initial dependence on Convolutional Neural Networks (CNNs) to the present investigation of hybrid models that combine CNNs with Vision Transformers. Furthermore, ther
Externí odkaz:
http://arxiv.org/abs/2406.16993
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT
Autor:
Dutta, Pallabi, Mitra, Sushmita
An early effective screening and grading of COVID-19 has become imperative towards optimizing the limited available resources of the medical facilities. An automated segmentation of the infected volumes in lung CT is expected to significantly aid in
Externí odkaz:
http://arxiv.org/abs/2301.06961
Autor:
Dutta, Pallabi, Mitra, Sushmita
Automated delineation of COVID-19 lesions from lung CT scans aids the diagnosis and prognosis for patients. The asymmetric shapes and positioning of the infected regions make the task extremely difficult. Capturing information at multiple scales will
Externí odkaz:
http://arxiv.org/abs/2210.15571
Autor:
Dutta, Pallabi, Borua, P.K.
Publikováno v:
International Journal of Food Safety, Nutrition and Public Health; January 2011, Vol. 4 Issue: 2-4 p167-174, 8p