Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958214 | Computer Methods and Programs in Biomedicine | 2017 | 11 Pages |
Abstract
Conclusions: We demonstrated the feasibility of using computational resources based on image processing techniques to achieve success in diagnosing strabismus by using the cover test. Despite the promising results the proposed method must be validated in a greater volume of video including other types of strabismus.
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Thales Levi Azevedo Valente, João Dallyson Sousa de Almeida, Aristófanes Corrêa Silva, Jorge Antonio Meireles Teixeira, Marcelo Gattass,