Digital pathology, deep learning, and cancer: a narrative review
Darnell K. Adrian Williams Jr,
Gillian Graifman,
Nowair Hussain
et al.
Abstract:Background and Objective
Cancer is a leading cause of morbidity and mortality worldwide. The emergence of digital pathology and deep learning technologies signifies a transformative era in healthcare. These technologies can enhance cancer detection, streamline operations, and bolster patient care. A substantial gap exists between the development phase of deep learning models in controlled laboratory environments and their translations into clinical practice. This narrative review evaluates the cur… Show more
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