Efosa, Osagie 
ORCID: https://orcid.org/0009-0004-3462-7175 and Shemi, Ayo-Ogbor
(2022)
Challenges in the Design of Optical Character Recognition for Medical Image Modalities.
International Journal of Multidisciplinary and Current Educational Research, 4 (1).
pp. 109-112.
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Abstract
The aim of this review study is to analyse and evaluate the challenges faced in the research anddesign of optical character recognition systems for computer vision tasks in processing medical image modalities. In this regard, this study provides a summarized comprehensive foundation of optical character recognition, identifies the challenges faced in the design of optical character recognition models in medical image modalities with attention to the burned-in text data in these images and in conclusion, provide benefits of this technology in health system, identify possible future research directions.
| Item Type: | Article |
|---|---|
| Status: | Published |
| Subjects: | Q Science > Q Science (General) > Q325 Machine learning |
| School/Department: | London Campus |
| URI: | https://ray.yorksj.ac.uk/id/eprint/13311 |
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