Zobrazeno 1 - 10
of 31
pro vyhledávání: '"S. Shajun Nisha"'
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 11, Iss 4, Pp 2441-2446 (2021)
We find the usefulness of computers in every field including medical field. Scanning the affected part has become a standard study. Diagnosing a disease at the right time, i.e. early detection, from the study of images enables the physician to take r
Externí odkaz:
https://doaj.org/article/1652025c33234b6fa4e12b4f920dd1e1
Publikováno v:
Computer Systems Science and Engineering. 45:2971-2988
Publikováno v:
International journal of health sciences. :7657-7663
Selection of features is an effective method for minimizing the amount of data features in order to improve machine learning classification performance. Choosing a set of attributes is a high-level procedure for selecting a collection of relevant fea
Publikováno v:
International journal of health sciences. :1783-1794
Three dimensional (3D) imaging play a prominent role in the diagnosis, treatment planning, and post-therapeutic monitoring of patients with Rheumatic Heart Disease (RHD) or mitral valve disease. More interactive and realistic medical experiences take
Publikováno v:
International journal of health sciences. :2072-2096
Age-related Macular Degeneration, Diabetic Retinopathy, Edema as well as Glaucoma are considered as leading ophthalmology diseases result in permanent blindness unless diagnosed earlier. Vision Impairment may be associated with factors such as heredi
Publikováno v:
International Journal of Computer Sciences and Engineering. 9:46-51
Publikováno v:
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE).
Publikováno v:
International Journal of Information Technology. 12:899-905
Bias field is a smooth intensity variation, which emanate during the process of image procurement. Bias removal is an essential prerequisite while incorporating computer assisted diagnosis. Several bias correction algorithms are proposed till date. T
Autor:
Dilip Kumar Sharma, Raja Sarath Kumar Boddu, Narinder Kumar Bhasin, S. Shajun Nisha, Vipin Jain, Md. Khaja Mohiddin
Publikováno v:
2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA).
Deep learning (DL) is adapted in many areas of artificial intelligence such as speech recognition, image recognition, natural language processing, robot navigation systems, and self-driving cars. This field also aids in analyzing the spread of danger
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::382cb22172f930799dd1575301849b15
https://doi.org/10.1016/b978-0-12-823014-5.00007-7
https://doi.org/10.1016/b978-0-12-823014-5.00007-7