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...

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Detalles Bibliográficos
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:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8869991/
https://www.ncbi.nlm.nih.gov/pubmed/35205735
http://dx.doi.org/10.3390/cancers14040987

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