Zobrazeno 1 - 10
of 35
pro vyhledávání: '"K B, Jayanthi"'
Publikováno v:
International journal of health sciences. :1212-1223
Adverse weather has long been recognized as one of the major causes of motor vehicle crashes due to its negative impact on visibility and road surface. Automatic recognition of weather condition has important application value in traffic condition wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d05c75b431b47d9f939d98272f30e08
https://doi.org/10.53730/ijhs.v6ns8.9882
https://doi.org/10.53730/ijhs.v6ns8.9882
Autor:
M. Devaki, K. B. Jayanthi
Identification of urban water bodies from satellite images has been extensively explored in the recent past. Different types of mechanisms have been developed to delineate water bodies from distinct satellite images differing in spatial and temporal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48a3b78df597dbe1e1b2bc45e75715e1
https://doi.org/10.21203/rs.3.rs-2833110/v1
https://doi.org/10.21203/rs.3.rs-2833110/v1
Publikováno v:
ECS Transactions. 107:12841-12850
Cardiovascular disease (CVD) has emerged as one of the major health problem all over the world. In this study, statistical analysis is performed to identify the association of diabetes, cholesterol, hypertension, obesity, sex, and age with CVDs. A to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0564e7359d4b754da8401a1a55c2969a
https://doi.org/10.1149/10701.12841ecst
https://doi.org/10.1149/10701.12841ecst
Autor:
R Nandakumar, K B Jayanthi
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 7, Iss 2, Pp 1345-1350 (2016)
According to the report given by World Health Organization, by 2030 almost 23.6 million people will die from cardiovascular diseases (CVD), mostly from heart disease and stroke. The main objective of this work is to develop a classifier for the diagn
Externí odkaz:
https://doaj.org/article/3de9f659da0842929dff4012ca01d504
Publikováno v:
Journal of Medical Imaging and Health Informatics. 11:2546-2557
Intima Media Thickness (IMT) of the carotid artery is an important marker indicating the sign of cardiovascular disease. Automated measurement of IMT requires segmentation of intima media complex (IMC).Traditional methods which use shape, color and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f02fa3fec7a412b23847bd3025c9a72f
https://doi.org/10.1166/jmihi.2021.3841
https://doi.org/10.1166/jmihi.2021.3841
Publikováno v:
TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed770eaab7906ff5cc3a75444e99881e
https://doi.org/10.1109/tencon55691.2022.9977966
https://doi.org/10.1109/tencon55691.2022.9977966
Publikováno v:
Measurement. 144:243-259
The most significant information of the shape of any image/object is concentrated in curvature regions along the contour and objects boundaries rather than uniformly distributed contour. The points belonging to greater magnitude of curvature gives mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79d7bb5b3e43164891016c3f51d26c4d
https://doi.org/10.1016/j.measurement.2019.05.029
https://doi.org/10.1016/j.measurement.2019.05.029
Publikováno v:
International Journal of Imaging Systems and Technology. 28:235-245
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fcbbb9c69a79e8afcf7b719b08729eb
https://doi.org/10.1002/ima.22274
https://doi.org/10.1002/ima.22274
Publikováno v:
IET Nanobiotechnol
The combination of the fields of software engineering, gadgets, and science has stood out among the most revolutionary future innovations. Health issues have been the focus of various engaging and explanatory studies. One such health‐related dilemm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1823c6f96d8c2721bc2b64cddd2ac773
https://doi.org/10.1049/iet-nbt.2016.0037
https://doi.org/10.1049/iet-nbt.2016.0037
Publikováno v:
TENCON
Segmentation is one of the important and challenging tasks in medical image analysis. Region of Interest (RoI) needs to be segmented from the background in almost all types of medical images for further analysis. This assist doctors in perfect diagno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe38b2921e55e588ab2440f20519e616
https://doi.org/10.1109/tencon.2019.8929648
https://doi.org/10.1109/tencon.2019.8929648