HistoML, a markup language for representation and exchange of histopathological features in pathology images.

ABSTRACT: The study of histopathological phenotypes is vital for cancer research and medicine as it links molecular mechanisms to disease prognosis. It typically involves integration of heterogenous histopathological features in whole-slide images (WSI) to objectively characterize a histopathological phenotype. However, the large-scale implementation of phenotype characterization has been hindered by the fragmentation of histopathological features, resulting from the lack of a standardized format and a controlled vocabulary for structured and unambiguous representation of semantics in WSIs. To fill this gap, we propose the Histopathology Markup Language (HistoML), a representation language along with a controlled vocabulary (Histopathology Ontology) based on Semantic Web technologies. Multiscale fea

SUBMITTER: Lou P 

PROVIDER: S-EPMC9270329 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature