Your browser doesn't support javascript.
loading
A systematic review on the use of artificial intelligence in gynecologic imaging - Background, state of the art, and future directions.
Shrestha, Pallabi; Poudyal, Bhavya; Yadollahi, Sepideh; E Wright, Darryl; V Gregory, Adriana; D Warner, Joshua; Korfiatis, Panagiotis; C Green, Isabel; L Rassier, Sarah; Mariani, Andrea; Kim, Bohyun; Laughlin-Tommaso, Shannon K; L Kline, Timothy.
Afiliación
  • Shrestha P; Department of Radiology, Mayo Clinic, Rochester, MN, United States of America.
  • Poudyal B; Department of Radiology, Mayo Clinic, Rochester, MN, United States of America.
  • Yadollahi S; Department of Radiology, Mayo Clinic, Rochester, MN, United States of America.
  • E Wright D; Department of Radiology, Mayo Clinic, Rochester, MN, United States of America.
  • V Gregory A; Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, United States of America.
  • D Warner J; Department of Radiology, Mayo Clinic, Rochester, MN, United States of America.
  • Korfiatis P; Department of Radiology, Mayo Clinic, Rochester, MN, United States of America.
  • C Green I; Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America.
  • L Rassier S; Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America.
  • Mariani A; Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America.
  • Kim B; Department of Radiology, Mayo Clinic, Rochester, MN, United States of America.
  • Laughlin-Tommaso SK; Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America.
  • L Kline T; Department of Radiology, Mayo Clinic, Rochester, MN, United States of America; Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, United States of America. Electronic address: Kline.Timothy@mayo.edu.
Gynecol Oncol ; 166(3): 596-605, 2022 09.
Article en En | MEDLINE | ID: mdl-35914978
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Inteligencia Artificial Tipo de estudio: Diagnostic_studies / Systematic_reviews Límite: Female / Humans Idioma: En Revista: Gynecol Oncol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Inteligencia Artificial Tipo de estudio: Diagnostic_studies / Systematic_reviews Límite: Female / Humans Idioma: En Revista: Gynecol Oncol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos