Efficiency of Machine Learning Algorithms for the Determination of Macrovesicular Steatosis in Frozen Sections Stained with Sudan to Evaluate the Quality of the Graft in Liver Transplantation

Efficiency of Machine Learning Algorithms for the Determination of Macrovesicular Steatosis in Frozen Sections Stained with Sudan to Evaluate the Quality of the Graft in Liver Transplantation

Liver transplantation is the only curative treatment option in patients diagnosed with end-stage liver disease. The low availability of organs demands an accurate selection procedure based on histological analysis, in order to evaluate the allograft. This assessment, traditionally carried out by a p...

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Bibliographic Details
Main Authors: Fernando Pérez-Sanz, Miriam Riquelme-Pérez, Enrique Martínez-Barba, Jesús de la Peña-Moral, Alejandro Salazar Nicolás, Marina Carpes-Ruiz, Angel Esteban-Gil, María Del Carmen Legaz-García, María Antonia Parreño-González, Pablo Ramírez, Carlos M. Martínez
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
liver transplantation
sudan stain
machine learning
computer vision
macrovesicular steatosis
Online Access:https://www.mdpi.com/1424-8220/21/6/1993

Internet

https://www.mdpi.com/1424-8220/21/6/1993

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