Urushibara A

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

2022

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

Cancers ·doi:10.3390/cancers14040987

BackgroundThis study aimed to compare deep learning with radiologists' assessments for diagnosing ovarian carcinoma using MRI.MethodsThis retrospective study included 194 patients with pathologically confirmed ovarian carcinomas or borderli…

2022

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

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

PurposeTo 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 methodsThis retrospective study include…