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pro vyhledávání: '"Gupte, Tanveer"'
Autor:
Gupte, Tanveer, Niljikar, Mrunmai, Gawali, Manish, Kulkarni, Viraj, Kharat, Amit, Pant, Aniruddha
We propose an automated method based on deep learning to compute the cardiothoracic ratio and detect the presence of cardiomegaly from chest radiographs. We develop two separate models to demarcate the heart and chest regions in an X-ray image using
Externí odkaz:
http://arxiv.org/abs/2101.07606
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
Akademický článek
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Autor:
Ajmera, Pranav, Kharat, Amit, Gupte, Tanveer, Pant, Richa, Kulkarni, Viraj, Duddalwar, Vinay, Lamghare, Purnachandra
Supplemental Material for Observer performance evaluation of the feasibility of a deep learning model to detect cardiomegaly on chest radiographs by Pranav Ajmera, Amit Kharat, Tanveer Gupte, Richa Pant, Viraj Kulkarni, Vinay Duddalwar and Purnachand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5677b6eb0c5d3a85a0cd733c0490d8ec
Autor:
Ajmera, Pranav, Kharat, Amit, Gupte, Tanveer, Pant, Richa, Kulkarni, Viraj, Duddalwar, Vinay, Lamghare, Purnachandra
Publikováno v:
Acta Radiologica Open; Jul2022, Vol. 11 Issue 7, p1-11, 11p
