Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Archana Bhange"'
Publikováno v:
Indian Journal of Ophthalmology, Vol 68, Iss 6, Pp 1115-1119 (2020)
Purpose: This purpose of this study was to find the association between severity of visual impairment and retinal nerve fiber layer (RNFL) thickness loss in different demyelinating diseases using optical coherence tomography (OCT) and, simultaneously
Externí odkaz:
https://doaj.org/article/096e90d567f34ff6968005ba42ba8879
Autor:
Sachin Panchal, Ankita Naik, Manesh Kokare, Samiksha Pachade, Rushikesh Naigaonkar, Prerana Phadnis, Archana Bhange
Publikováno v:
Data, Vol 8, Iss 2, p 29 (2023)
Irreversible vision loss is a worldwide threat. Developing a computer-aided diagnosis system to detect retinal fundus diseases is extremely useful and serviceable to ophthalmologists. Early detection, diagnosis, and correct treatment could save the e
Externí odkaz:
https://doaj.org/article/9e0ac4390b7e4d2191240acf99c071d7
Publikováno v:
International Journal of Management and Humanities. 4:85-88
The world is coming closer and closer day by day, globalization trends have opened doors for manufacturing outlets development in the country. To strive this competition the application of industrial tools and techniques theories has become vital. Th
Publikováno v:
International Journal of Management and Humanities. 4:58-60
Planning and designing of manufacturing processes and material handling equipment are effective, helps to achieve maximum productivity through maximum utilization of the available resources. This paper aims to study the implementations of industrial
Publikováno v:
Indian Journal of Ophthalmology, Vol 68, Iss 6, Pp 1115-1119 (2020)
Purpose: This purpose of this study was to find the association between severity of visual impairment and retinal nerve fiber layer (RNFL) thickness loss in different demyelinating diseases using optical coherence tomography (OCT) and, simultaneously
Publikováno v:
2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC).
Street light monitoring is a vital and inevitable process to avoid night time accidents, criminal activities and thefts etc., In existing systems, the monitoring of street lights rely on man power or sensors which are not reliable and time consuming.
Conference
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