Cargando…
Automated Detection of Ischemic Stroke and Subsequent Patient Triage in Routinely Acquired Head CT
PURPOSE: Advanced machine-learning (ML) techniques can potentially detect the entire spectrum of pathology through deviations from a learned norm. We investigated the utility of a weakly supervised ML tool to detect characteristic findings related to ischemic stroke in head CT and provide subsequent...
Autores principales: | Finck, Tom, Schinz, David, Grundl, Lioba, Eisawy, Rami, Yiğitsoy, Mehmet, Moosbauer, Julia, Zimmer, Claus, Pfister, Franz, Wiestler, Benedikt |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187535/ https://www.ncbi.nlm.nih.gov/pubmed/34463778 http://dx.doi.org/10.1007/s00062-021-01081-7 |
Ejemplares similares
-
Faster and Better: How Anomaly Detection Can Accelerate and Improve Reporting of Head Computed Tomography
por: Finck, Tom, et al.
Publicado: (2022) -
Uncertainty-Aware and Lesion-Specific Image Synthesis in Multiple Sclerosis Magnetic Resonance Imaging: A Multicentric Validation Study
por: Finck, Tom, et al.
Publicado: (2022) -
Predicting Glioblastoma Recurrence from Preoperative MR Scans Using Fractional-Anisotropy Maps with Free-Water Suppression
por: Metz, Marie-Christin, et al.
Publicado: (2020) -
Local Bone Mineral Density, Subcutaneous and Visceral Adipose Tissue Measurements in Routine Multi Detector Computed Tomography—Which Parameter Predicts Incident Vertebral Fractures Best?
por: Burian, Egon, et al.
Publicado: (2021) -
Lesion location across diagnostic regions in multiple sclerosis
por: Pongratz, Viola, et al.
Publicado: (2023)