Cargando…
AI-aided detection of malignant lesions in mammography screening – evaluation of a program in clinical practice
OBJECTIVES: Evaluation of the degree of concordance between an artificial intelligence (AI) program and radiologists in assessing malignant lesions in screening mammograms. METHODS: The study population consisted of all consecutive cases of screening-detected histopathologically confirmed breast can...
Autores principales: | Johansson, Greta, Olsson, Caroline, Smith, Frida, Edegran, Maria, Björk-Eriksson, Thomas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Institute of Radiology.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880231/ https://www.ncbi.nlm.nih.gov/pubmed/33598603 http://dx.doi.org/10.1259/bjro.20200063 |
Ejemplares similares
-
AI in breast screening mammography: breast screening readers' perspectives
por: de Vries, Clarisse Florence, et al.
Publicado: (2022) -
Differences and similarities in false interpretations by AI CAD and radiologists in screening mammography
por: Salim, Mattie, et al.
Publicado: (2023) -
Diagnostic Performance of AI for Cancers Registered in A Mammography Screening Program: A Retrospective Analysis
por: Kizildag Yirgin, Inci, et al.
Publicado: (2022) -
Lesions of “uncertain malignant potential” in the breast (B3) identified with mammography screening
por: Richter-Ehrenstein, Christiane, et al.
Publicado: (2018) -
Linear accelerator utilization: Concept and tool to aid the scheduling of patients for radiotherapy
por: Lindberg, Jesper, et al.
Publicado: (2021)