A review of automatic lung tumour segmentation in the era of 4DCT.

ABSTRACT:

Aim

To review the literature on auto-contouring methods of lung tumour volumes on four-dimensional computed tomography (4DCT).

Background

Manual delineation of lung tumour on 4DCT has been the gold standard in clinical practice. However, it is resource intensive due to the high volume of data which results in longer contouring duration and uncertainties in defining target. Auto-contouring may present as an attractive alternative by decreasing manual inputs required, thus improving the contouring process. This review aims to assess the accuracy, variability and contouring duration of automatic contouring compared with manual contouring in lung cancer on 4DCT datasets.

Materials and methods

A search and review of literature were conducted to identify studies regarding l

SUBMITTER: Wong Yuzhen N 

PROVIDER: S-EPMC6389651 | biostudies-literature | 2019 Mar-Apr

REPOSITORIES: biostudies-literature