Deepfake Histologic Images for Enhancing Digital Pathology.

ABSTRACT: A pathologist's optical microscopic examination of thinly cut, stained tissue on glass slides prepared from a formalin-fixed paraffin-embedded tissue blocks is the gold standard for tissue diagnostics. In addition, the diagnostic abilities and expertise of pathologists is dependent on their direct experience with common and rarer variant morphologies. Recently, deep learning approaches have been used to successfully show a high level of accuracy for such tasks. However, obtaining expert-level annotated images is an expensive and time-consuming task, and artificially synthesized histologic images can prove greatly beneficial. In this study, we present an approach to not only generate histologic images that reproduce the diagnostic morphologic features of common disease but also provide a us

SUBMITTER: Falahkheirkhah K 

PROVIDER: S-EPMC10457173 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature