Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Anupama Bhan"'
Publikováno v:
Healthcare Analytics, Vol 3, Iss , Pp 100162- (2023)
Healthcare research shows early detection of cardiovascular disease (CVD) is the key to saving the lives of patients suffering from CVDs. Furthermore, recent studies show the Right Ventricle (RV) is equally important as the Left Ventricle (LV) in dia
Externí odkaz:
https://doaj.org/article/5ba0d6f67aeb443d844bb1d2751daa77
Autor:
Saiteja Prasad Chatrati, Gahangir Hossain, Ayush Goyal, Anupama Bhan, Sayantan Bhattacharya, Devottam Gaurav, Sanju Mishra Tiwari
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 3, Pp 862-870 (2022)
Home health monitoring can facilitate patient monitoring remotely for diabetes and blood pressure patients. Early detection of hypertension and diabetes is extremely important, as these chronic diseases often result in life-threatening complications
Externí odkaz:
https://doaj.org/article/84dbd984136641598a057364cf5867aa
Publikováno v:
International Journal of Healthcare Management. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85b79cd028cf31375687a526807c9863
https://doi.org/10.1080/20479700.2023.2166206
https://doi.org/10.1080/20479700.2023.2166206
Publikováno v:
International Journal of Web Information Systems.
Purpose This paper aims to implement and extend the You Only Live Once (YOLO) algorithm for detection of objects and activities. The advantage of YOLO is that it only runs a neural network once to detect the objects in an image, which is why it is po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80fb765954122503e92093ad1ef05fba
https://doi.org/10.1108/ijwis-01-2023-0006
https://doi.org/10.1108/ijwis-01-2023-0006
In order to diagnose cardiovascular disease (CVD) in its early stages, the position of the Left Ventricle (LV) and relevant parameters associated with it plays significant role in the medical field. The timely diagnosis of CVDs works as a lifesaver i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01466bce7a162bddf06551367e85b798
https://doi.org/10.21203/rs.3.rs-2637411/v1
https://doi.org/10.21203/rs.3.rs-2637411/v1
Publikováno v:
2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::256be30ae513ab8d79e981a1e267ea2a
https://doi.org/10.1109/confluence56041.2023.10048839
https://doi.org/10.1109/confluence56041.2023.10048839
Publikováno v:
International Journal of Image and Graphics.
Endocardial and epicardial border identification has been of extensive interest in cardiac Magnetic Resonance Images (MRIs). It is a difficult job to segment the epicardium and endocardium accurately and automatically from cardiac MRI owing to the ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27158ca7993921651083125f97e625ec
https://doi.org/10.1142/s0219467823400144
https://doi.org/10.1142/s0219467823400144
Publikováno v:
Electronics; Volume 11; Issue 21; Pages: 3594
The early diagnosis of cardiovascular diseases (CVDs) can effectively prevent them from worsening. The source of the disease can be effectively detected through analysis with cardiac magnetic resonance imaging (CMRI). The segmentation of the left ven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::628b0d7e7dc591821eb05bae9769421c
Autor:
Anupama Bhan, Parthasarathi Mangipudi
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b1db700a963ac9530391ec37d05e609
https://doi.org/10.1007/s12652-022-04389-5
https://doi.org/10.1007/s12652-022-04389-5
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811925405
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::852c0459df97563d8bf254c4be0c3162
https://doi.org/10.1007/978-981-19-2541-2_43
https://doi.org/10.1007/978-981-19-2541-2_43