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Use of Camera in Medical Diagnosis

Sachin C Narwadiya, Research Scholar, School of Public Health, Poornima University, Jaipur 303905, Rajasthan, India , Neha Suthar , Sachin C Narwadiya

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Ophthalmology and Allied Sciences 8(3):p 81-83, September-December 2022. | DOI: http://dx.doi.org/10.21088/oas.2454.7816.8322.1

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Neha Suthar, Sachin C Narwadiya/Use of Camera in Medical Diagnosis/Ophthalmol Allied Sci. 2022;8(3): 81–83
 


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Abstract

We must acknowledge the inventor of the camera: Louis Le Prince. Cameras have long secured their place in our daily lives. It doesn't just apply to the cameras in our smartphones
or the digital cameras we use for vacation pictures. ATMs, toll booths, security firms guarding buildings and eye doctors using slit lamps all rely on cameras to do their jobs. Yet even the
most observant among us can easily miss most of the devices because they involve tiny cameras used in embedded systems. Medicine and research require cameras that perform well daily for
the vital work that scientists, doctors, nurses and patients do, all without focusing on each other. Let's imagine how this technology benefits various medical diagnostics branches. The
field of ophthalmology relies on high-resolution machine vision cameras to aid in diagnosing and imaging the retina. For these applications, it is often recommended to use machine vision
cameras up to 31 megapixels to detect even the most minor details in the retinas (the retina: the area at the back of our eye that is sensitive to light and transmits the image of what we see
to our brain) This the field has gained importance in recent years because early detection of diseases such as diabetic retinopathy or macular degeneration can significantly increase the
chances of successful treatment. A modern ophthalmologist has many diagnostic devices and methods at his disposal. One widely used examination device is the slit lamp microscope (or
slit lamp for short).
 


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Cite this article

Neha Suthar, Sachin C Narwadiya/Use of Camera in Medical Diagnosis/Ophthalmol Allied Sci. 2022;8(3): 81–83
 


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DOI: http://dx.doi.org/10.21088/oas.2454.7816.8322.1

Keywords

Diabetes MellitusEndothelial Cell DensityCo-efficient of VariationHexgonality

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