Semantic annotation for computational pathology: multidisciplinary experience and best practice recommendations.

ABSTRACT: Recent advances in whole-slide imaging (WSI) technology have led to the development of a myriad of computer vision and artificial intelligence-based diagnostic, prognostic, and predictive algorithms. Computational Pathology (CPath) offers an integrated solution to utilise information embedded in pathology WSIs beyond what can be obtained through visual assessment. For automated analysis of WSIs and validation of machine learning (ML) models, annotations at the slide, tissue, and cellular levels are required. The annotation of important visual constructs in pathology images is an important component of CPath projects. Improper annotations can result in algorithms that are hard to interpret and can potentially produce inaccurate and inconsistent results. Despite the crucial role of annotatio

SUBMITTER: Wahab N 

PROVIDER: S-EPMC8822374 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature