In
modern clinical practice, digital pathology plays a crucial role and is
increasingly a technological requirement in the laboratory environment. The
advent of whole slide imaging, the availability of faster networks, and cheaper
storage solutions make it easier for pathologists to manage digital slide
images and share them for clinical use.
In
this review, we seek to demonstrate the deep learning systems: their potential
to function on par with humans in classifying images into diagnostic
categories; some of the AI software used in evaluating histopathology images;
the significance of AI in evaluating oral mucosal lesions using dermoscopy;
challenges and opportunities of AI in digital pathology.
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