Cargando…
Diagnosing Ovarian Cancer on MRI: A Preliminary Study Comparing Deep Learning and Radiologist Assessments
SIMPLE SUMMARY: As a preliminary experiment to explore the possibility of clinical application as a future reading assist, we present CNNs for the diagnosis of ovarian carcinomas and borderline tumors on MRI, including T2WI, DWI, ADC map, and CE-T1WI, and compare their diagnostic performance with in...
Autores principales: | Saida, Tsukasa, Mori, Kensaku, Hoshiai, Sodai, Sakai, Masafumi, Urushibara, Aiko, Ishiguro, Toshitaka, Minami, Manabu, Satoh, Toyomi, Nakajima, Takahito |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8869991/ https://www.ncbi.nlm.nih.gov/pubmed/35205735 http://dx.doi.org/10.3390/cancers14040987 |
Ejemplares similares
-
Differentiation of carcinosarcoma from endometrial carcinoma on magnetic resonance imaging using deep learning
por: Saida, Tsukasa, et al.
Publicado: (2022) -
The efficacy of deep learning models in the diagnosis of endometrial cancer using MRI: a comparison with radiologists
por: Urushibara, Aiko, et al.
Publicado: (2022) -
Differences in the position of endometriosis-associated and non-associated ovarian cancer relative to the uterus
por: Saida, Tsukasa, et al.
Publicado: (2023) -
Clinical and MRI Characteristics of Uterine Cervical Adenocarcinoma: Its Variants and Mimics
por: Saida, Tsukasa, et al.
Publicado: (2019) -
Pulmonary arterial pseudoaneurysm as an unusual complication of pulmonary actinomycosis: Two case reports
por: Urushibara, Aiko, et al.
Publicado: (2022)