Automatic ganglion cell detection for improving the efficiency and accuracy of hirschprung disease diagnosis
Abstract Histopathologic diagnosis of Hirschsprung's disease (HSCR) is time consuming and requires expertise. The use of artificial intelligence (AI) in digital pathology is actively researched and may improve the diagnosis of HSCR. The purpose of this research was to develop an algorithm capab...
Guardado en:
Autores principales: | Ariel Greenberg, Asaf Aizic, Asia Zubkov, Sarah Borsekofsky, Rami R. Hagege, Dov Hershkovitz |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/8ca5719ee4a04a26979e03abc344c30e |
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