Differentiate cavernous hemangioma from schwannoma with artificial intelligence (AI).

ABSTRACT:

Background

Cavernous hemangioma and schwannoma are tumors that both occur in the orbit. Because the treatment strategies of these two tumors are different, it is necessary to distinguish them at treatment initiation. Magnetic resonance imaging (MRI) is typically used to differentiate these two tumor types; however, they present similar features in MRI images which increases the difficulty of differential diagnosis. This study aims to devise and develop an artificial intelligence framework to improve the accuracy of clinicians' diagnoses and enable more effective treatment decisions by automatically distinguishing cavernous hemangioma from schwannoma.

Methods

Material: As the study materials, we chose MRI images as the study materials that represented patients from diverse ar

SUBMITTER: Bi S 

PROVIDER: S-EPMC7327353 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature