Automated Detection, Segmentation, and Classification of Pleural Effusion From Computed Tomography Scans Using Machine Learning

This study trained and evaluated algorithms to detect, segment, and classify simple and complex pleural effusions on computed tomography (CT) scans. MATERIALS AND METHODS: For detection and segmentation, we randomly selected 160 chest CT scans out of all consecutive patients (January 2016–January 20...

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Detalles Bibliográficos
Autores principales: Sexauer, Raphael, Yang, Shan, Weikert, Thomas, Poletti, Julien, Bremerich, Jens, Roth, Jan Adam, Sauter, Alexander Walter, Anastasopoulos, Constantin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390225/
https://www.ncbi.nlm.nih.gov/pubmed/35797580
http://dx.doi.org/10.1097/RLI.0000000000000869

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390225/
https://www.ncbi.nlm.nih.gov/pubmed/35797580
http://dx.doi.org/10.1097/RLI.0000000000000869

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