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pro vyhledávání: '"Nor Nisha Nadhira Nazirun"'
Autor:
Nor Nisha Nadhira Nazirun, Asnida Abdul Wahab, Ali Selamat, Hamido Fujita, Ondrej Krejcar, Kamil Kuca, Gan Hong Seng
Publikováno v:
IEEE Access, Vol 12, Pp 161595-161619 (2024)
Diabetes, especially type 2 diabetes (T2D), is a chronic disease affecting millions of people worldwide. The increasing prevalence of T2D, coupled with the complex interplay between genetic, environmental, and lifestyle factors, presents a major chal
Externí odkaz:
https://doaj.org/article/76043574d01248acab50000503585149
Publikováno v:
Malaysian Journal of Medicine and Health Sciences. :78-84
Novel COVID-19 Coronavirus disease, namely SARS-CoV-2, is a global pandemic and has spread to more than 200 countries. The sudden rise in the number of cases is causing a tremendous effect on healthcare services worldwide. To assist strategies in con
Autor:
Al Fazir Omar, Daniel Baumgarten, Eko Supriyanto, Jens Haueisen, Nor Nisha Nadhira Nazirun, Christine Pohl
Publikováno v:
2016 International Conference on Robotics, Automation and Sciences (ICORAS).
The combination of different medical modalities from single or multiple sensors produces higher reliability in diagnosis, pre-surgical planning and surgical intervention. Multimodal fusion is an option to exploit medical images in the context of coro
Publikováno v:
Lecture Notes in Bioengineering ISBN: 9789812875396
Recent publications in the field of medical image fusion point out the value of multi-modality in diagnosis, pre-surgical planning and surgical intervention. The integration of multiple data sources including medical images from different devices or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f947aa85b41a34483af9163fba2b26c5
https://doi.org/10.1007/978-981-287-540-2_4
https://doi.org/10.1007/978-981-287-540-2_4
Autor:
Eko Supriyanto, Nor Nisha Nadhira Nazirun, Sanjiv Joshi Hari Chand, Syahidah Syed Tamin, Nur'Aqilah Hamzah, Christine Pohl, Rosli Mohd Ali, Al Fazir Omar
Publikováno v:
2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES).
In diagnosis, planning, intervention and monitoring of the potentially fatal Coronary Artery Disease multimodal medical imaging plays an important role. Medical cardiac images of patients suffering from Atherosclerosis exhibit information on cardiova