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of 4
pro vyhledávání: '"Lokwani, Rohit"'
Deep learning semantic segmentation algorithms can localise abnormalities or opacities from chest radiographs. However, the task of collecting and annotating training data is expensive and requires expertise which remains a bottleneck for algorithm p
Externí odkaz:
http://arxiv.org/abs/2102.12764
Image segmentation plays a pivotal role in several medical-imaging applications by assisting the segmentation of the regions of interest. Deep learning-based approaches have been widely adopted for semantic segmentation of medical data. In recent yea
Externí odkaz:
http://arxiv.org/abs/2101.07612
COVID-19 is an infectious disease that causes respiratory problems similar to those caused by SARS-CoV (2003). Currently, swab samples are being used for its diagnosis. The most common testing method used is the RT-PCR method, which has high specific
Externí odkaz:
http://arxiv.org/abs/2006.13212
Autor:
Kharat, Amit, Duddalwar, Vinay, Saoji, Krishna, Gaikwad, Ashrika, Kulkarni, Viraj, Naik, Gunjan, Lokwani, Rohit, Kasliwal, Swaraj, Kondal, Sudeep, Gupte, Tanveer, Pant, Aniruddha
Edge devices are revolutionizing diagnostics. Edge devices can reside within or adjacent to imaging tools such as digital Xray, CT, MRI, or ultrasound equipment. These devices are either CPUs or GPUs with advanced processing deep and machine learning
Externí odkaz:
http://arxiv.org/abs/2006.13808