Under-exploration of Three-Dimensional Images Leads to Search Errors for Small Salient Targets.

ABSTRACT: Advances in 3D imaging technology are transforming how radiologists search for cancer^1,2 and how security officers scrutinize baggage for dangerous objects.³ These new 3D technologies often improve search over 2D images^4,5 but vastly increase the image data. Here, we investigate 3D search for targets of various sizes in filtered noise and digital breast phantoms. For a Bayesian ideal observer optimally processing the filtered noise and a convolutional neural network processing the digital breast phantoms, search with 3D image stacks increases target information and improves accuracy over search with 2D images. In contrast, 3D search by humans leads to high miss rates for small targets easily detected in 2D search,

SUBMITTER: Lago MA 

PROVIDER: S-EPMC8048135 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature