Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge

Purpose: Clinicians rely on imaging features to calculate complexity of renal masses based on validated scoring systems. These scoring methods are labor-intensive and are subjected to interobserver variability. Artificial intelligence has been increasingly utilized by the medical community to solve...

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Detalles Bibliográficos
Autores principales: Sathianathen, Niranjan J., Heller, Nicholas, Tejpaul, Resha, Stai, Bethany, Kalapara, Arveen, Rickman, Jack, Dean, Joshua, Oestreich, Makinna, Blake, Paul, Kaluzniak, Heather, Raza, Shaneabbas, Rosenberg, Joel, Moore, Keenan, Walczak, Edward, Rengel, Zachary, Edgerton, Zach, Vasdev, Ranveer, Peterson, Matthew, McSweeney, Sean, Peterson, Sarah, Papanikolopoulos, Nikolaos, Weight, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763784/
https://www.ncbi.nlm.nih.gov/pubmed/35059687
http://dx.doi.org/10.3389/fdgth.2021.797607

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763784/
https://www.ncbi.nlm.nih.gov/pubmed/35059687
http://dx.doi.org/10.3389/fdgth.2021.797607

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