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Dataset Information

Effective processing pipeline PACE 2.0 for enhancing chest x-ray contrast and diagnostic interpretability.


ABSTRACT: Preprocessing is an essential task for the correct analysis of digital medical images. In particular, X-ray imaging might contain artifacts, low contrast, diffractions or intensity inhomogeneities. Recently, we have developed a procedure named PACE that is able to improve chest X-ray (CXR) images including the enforcement of clinical evaluation of pneumonia originated by COVID-19. At the clinical benchmark state of this tool, there have been found some peculiar conditions causing a reduction of details over large bright regions (as in ground-glass opacities and in pleural effusions in bedridden patients) and resulting in oversaturated areas. Here, we have significantly improved the overall performance of the original approach including the results in those specific cases by developing PACE

SUBMITTER: Siracusano G 

PROVIDER: S-EPMC10728198 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature