Improving automated thyroid cancer classification of frozen sections by the aid of virtual image translation and stain normalization

Improving automated thyroid cancer classification of frozen sections by the aid of virtual image translation and stain normalization

Frozen sections are rapidly generated during surgical interventions. This allows surgeons to wait for histological findings during the interventions in order to base intra-surgical decisions on the outcome of the histology. However, compared to paraffin sections the quality of frozen sections is oft...

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Bibliographic Details
Main Authors: Michael Gadermayr, Maximilian Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Computer Methods and Programs in Biomedicine Update
Subjects:
Thyroid cancer
Histology
Frozen sections
Paraffin sections
Generative adversarial networks
Whole slide imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S2666990023000010

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http://www.sciencedirect.com/science/article/pii/S2666990023000010

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