Preparing Data for Artificial Intelligence in Pathology with Clinical-Grade Performance.

ABSTRACT: The pathology is decisive for disease diagnosis but relies heavily on experienced pathologists. In recent years, there has been growing interest in the use of artificial intelligence in pathology (AIP) to enhance diagnostic accuracy and efficiency. However, the impressive performance of deep learning-based AIP in laboratory settings often proves challenging to replicate in clinical practice. As the data preparation is important for AIP, the paper has reviewed AIP-related studies in the PubMed database published from January 2017 to February 2022, and 118 studies were included. An in-depth analysis of data preparation methods is conducted, encompassing the acquisition of pathological tissue slides, data cleaning, screening, and subsequent digitization. Expert review, image annotation, datas

SUBMITTER: Yang Y 

PROVIDER: S-EPMC10572440 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature