Your browser doesn't support javascript.
loading
Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection.
Marinovich, M Luke; Wylie, Elizabeth; Lotter, William; Pearce, Alison; Carter, Stacy M; Lund, Helen; Waddell, Andrew; Kim, Jiye G; Pereira, Gavin F; Lee, Christoph I; Zackrisson, Sophia; Brennan, Meagan; Houssami, Nehmat.
Afiliación
  • Marinovich ML; Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia luke.marinovich@curtin.edu.au.
  • Wylie E; Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
  • Lotter W; BreastScreen WA, Perth, Western Australia, Australia.
  • Pearce A; DeepHealth Inc, Cambridge, Massachussetts, USA.
  • Carter SM; Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
  • Lund H; Australian Centre for Health Engagement, Evidence and Values (ACHEEV), School of Health and Society, University of Wollongong, Wollongong, New South Wales, Australia.
  • Waddell A; BreastScreen WA, Perth, Western Australia, Australia.
  • Kim JG; BreastScreen WA, Perth, Western Australia, Australia.
  • Pereira GF; DeepHealth Inc, Cambridge, Massachussetts, USA.
  • Lee CI; Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia.
  • Zackrisson S; Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Oslo, Norway.
  • Brennan M; Department of Radiology, University of Washington, Seattle, Washington, USA.
  • Houssami N; Diagnostic Radiology, Department of Translational Medicine, Lund University, Malmö, Sweden.
BMJ Open ; 12(1): e054005, 2022 Jan 03.
Article en En | MEDLINE | ID: mdl-34980622
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Detección Precoz del Cáncer Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Aspecto: Ethics Límite: Female / Humans / Newborn País/Región como asunto: Oceania Idioma: En Revista: BMJ Open Año: 2022 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Detección Precoz del Cáncer Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Aspecto: Ethics Límite: Female / Humans / Newborn País/Región como asunto: Oceania Idioma: En Revista: BMJ Open Año: 2022 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido