COMPARING DIAGNOSTIC QUALITY BETWEEN JENOPTIK AND SMART PHONE-BASED SLIDE IMAGING OF APPENDICITIS CASES.
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Published:2022-09-01
Issue:
Volume:
Page:7-9
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ISSN:
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Container-title:PARIPEX INDIAN JOURNAL OF RESEARCH
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language:en
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Short-container-title:PIJR
Author:
Banik Arijita1, Saiyed Zebasultana1, G.C Manasa1
Affiliation:
1. JJM Medical College, Davangere, Karnataka – 577004
Abstract
Context – Digital pathology involves collecting, managing, sharing and interpreting pathological information including
[1] slides and data in a digital environment. In the age of digitization, these two alternative solutions were developed to
evaluate and compare smartphones and JENOPTIK based photomicrographs slide imaging. This will help you create
[2] your own digital library archive for future reference. The COVID-19 pandemic has brought novel challenges to
educational programs worldwide, with pathologists adopting new imaging techniques for slides that mandate social
[3,4] distancing while maintaining effective delivery of educational materials. Care centers are adopting digital
technology slide imaging. Improve the quality, innovation and convenience of case reporting. In this Summary: study,
percentage of measure of agreement was 85.3%, 89.1% and 81.5%, 83.7% for the slide images taken in the JENOPTIK
and smartphone-based photomicrographs and analyzed by Observer 1 and Observer 2, respectively. It can be seen that
the serial photomicrographs taken by JENOPTIK has better diagnostic accuracy as compared to SMART PHONE based
photomicrographs.
Publisher
World Wide Journals
Subject
Urban Studies,Multidisciplinary,General Veterinary,Animal Science and Zoology,Library and Information Sciences,Soil Science,General Veterinary,Agronomy and Crop Science,Animal Science and Zoology,Food Science,General Agricultural and Biological Sciences,Public Health, Environmental and Occupational Health,Health Policy,Industrial and Manufacturing Engineering,General Materials Science,Renewable Energy, Sustainability and the Environment,Forestry,General Veterinary,Agronomy and Crop Science,Animal Science and Zoology
Reference16 articles.
1. Barisoni, L., Lafata, K. J., Hewitt, S. M., Madabhushi, A., & Balis, U. (2020). Digital pathology and computational image analysis in nephropathology. Nature reviews. Nephrology, 16(11), 669–685. 2. Patil, S. K., Nair, M. R., Manjunath, A. B., & Mujib, B. (2020). Evaluation and comparison between smartphone and photomicrography based whole slide imaging. Journal of family medicine and primary care, 9(5), 2319–2323. 3. Stathonikos, N., van Varsseveld, N. C., Vink, A., van Dijk, M. R., Nguyen, T. Q., Leng, W., Lacle, M. M., Goldschmeding, R., Vreuls, C., & van Diest, P. J. (2020). Digital pathology in the time of corona. Journal of clinical pathology, 73(11), 706–712. 4. Mukhopadhyay, S., Booth, A. L., Calkins, S. M., Doxtader, E. E., Fine, S. W., Gardner, J. M., Gonzalez, R. S., Mirza, K. M., & Jiang, X. S. (2020). Leveraging Technology for Remote Learning in the Era of COVID-19 and Social Distancing. Archives of pathology & laboratory medicine, 144(9), 1027–1036. 5. Mulay HD, Reddy AK, Yelikar BR (2018). Mobile whole slide imaging with Indian twist. Indian J Pathol Microbiol,61(1), 153-154.
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