Abstract:The process of extracting clinical images, for instance, heart images from cameras is full of noises and complexities. As such, the general expenditure for processing these images like resources and time is significantly high, mostly for complex and large amounts of data. In that case, this research contribution utilizes the machine vision-centred method to effectively address these issues. The method significantly incorporates four essential stages with various forms of algorithms to handle the clinical heart… Show more
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