A deep learning-based algorithm for tall cell detection in papillary thyroid carcinoma.

ABSTRACT:

Introduction

According to the World Health Organization, the tall cell variant (TCV) is an aggressive subtype of papillary thyroid carcinoma (PTC) comprising at least 30% epithelial cells two to three times as tall as they are wide. In practice, applying this definition is difficult causing substantial interobserver variability. We aimed to train a deep learning algorithm to detect and quantify the proportion of tall cells (TCs) in PTC.

Methods

We trained the deep learning algorithm using supervised learning, testing it on an independent dataset, and further validating it on an independent set of 90 PTC samples from patients treated at the Hospital District of Helsinki and Uusimaa between 2003 and 2013. We compared the algorithm-based TC percentage to the independent scoring

SUBMITTER: Stenman S 

PROVIDER: S-EPMC9362950 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature