Urushibara A

ORCID: 0000-0003-1425-8929 · 2 papers in corpus

diagnostic-accuracy 2022

Diagnosing Ovarian Cancer on MRI: A Preliminary Study Comparing Deep Learning and Radiologist Assessments

Cancers ·doi:10.3390/cancers14040987

BACKGROUND: This study aimed to compare deep learning with radiologists' assessments for diagnosing ovarian carcinoma using MRI. METHODS: This retrospective study included 194 patients with pathologically confirmed ovarian carcinomas or bo…

diagnostic-accuracy 2022

Differentiation of carcinosarcoma from endometrial carcinoma on magnetic resonance imaging using deep learning

Polish journal of radiology ·doi:10.5114/pjr.2022.119806

PURPOSE: To verify whether deep learning can be used to differentiate between carcinosarcomas (CSs) and endometrial carcinomas (ECs) using several magnetic resonance imaging (MRI) sequences. MATERIAL AND METHODS: This retrospective study i…