On the Acceptance of "Fake" Histopathology: A Study on Frozen Sections Optimized with Deep Learning.

Mario Siller; Lea Maria Stangassinger; Christina Kreutzer; Peter Boor; Roman D Bulow; Theo Kraus; Saskia von Stillfried; Soraya Wolfl; Sébastien Couillard-Després; Gertie Janneke Oostingh; Anton Hittmair; Michael Gadermayr

doi:10.4103/jpi.jpi_53_21

On the Acceptance of "Fake" Histopathology: A Study on Frozen Sections Optimized with Deep Learning.

Mario Siller
, Lea Maria Stangassinger
, Christina Kreutzer (Co-author)
, Peter Boor
, Roman D Bulow
, Theo Kraus (Co-author)
, Saskia von Stillfried
, Soraya Wolfl
, Sébastien Couillard-Després (Co-author)
, Gertie Janneke Oostingh
, Anton Hittmair
, Michael Gadermayr

Research output: Contribution to journal › Original Article › peer-review

Original language	English
Pages (from-to)	6
Journal	JOURNAL OF PATHOLOGY INFORMATICS
Volume	13
DOIs	https://doi.org/10.4103/jpi.jpi_53_21
Publication status	Published - 2022

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10.4103/jpi.jpi_53_21

Cite this

Siller, M., Stangassinger, L. M., Kreutzer, C., Boor, P., Bulow, R. D., Kraus, T., von Stillfried, S., Wolfl, S., Couillard-Després, S., Oostingh, G. J., Hittmair, A., & Gadermayr, M. (2022). On the Acceptance of "Fake" Histopathology: A Study on Frozen Sections Optimized with Deep Learning. JOURNAL OF PATHOLOGY INFORMATICS, 13, 6. https://doi.org/10.4103/jpi.jpi_53_21

@article{96d4f287a3f347c5b82b7ff3957b66fb,

title = "On the Acceptance of {"}Fake{"} Histopathology: A Study on Frozen Sections Optimized with Deep Learning.",

author = "Mario Siller and Stangassinger, \{Lea Maria\} and Christina Kreutzer and Peter Boor and Bulow, \{Roman D\} and Theo Kraus and \{von Stillfried\}, Saskia and Soraya Wolfl and S{\'e}bastien Couillard-Despr{\'e}s and Oostingh, \{Gertie Janneke\} and Anton Hittmair and Michael Gadermayr",

note = "Lehr-KH Kardinal Schwarzenberg: Hittmair: Department of Pathology and Microbiology, Kardinal Schwarzenberg Klinikum, Schwarzach, Austria; Couillard-Despres; Kreutzer: Institute of Experimental Neuroregeneration, Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg, Austria; Kraus: Institute of Pathology, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria",

year = "2022",

doi = "10.4103/jpi.jpi\_53\_21",

language = "English",

volume = "13",

pages = "6",

journal = "JOURNAL OF PATHOLOGY INFORMATICS",

issn = "2153-3539",

}

TY - JOUR

T1 - On the Acceptance of "Fake" Histopathology: A Study on Frozen Sections Optimized with Deep Learning.

AU - Siller, Mario

AU - Stangassinger, Lea Maria

AU - Kreutzer, Christina

AU - Boor, Peter

AU - Bulow, Roman D

AU - Kraus, Theo

AU - von Stillfried, Saskia

AU - Wolfl, Soraya

AU - Couillard-Després, Sébastien

AU - Oostingh, Gertie Janneke

AU - Hittmair, Anton

AU - Gadermayr, Michael

N1 - Lehr-KH Kardinal Schwarzenberg: Hittmair: Department of Pathology and Microbiology, Kardinal Schwarzenberg Klinikum, Schwarzach, Austria; Couillard-Despres; Kreutzer: Institute of Experimental Neuroregeneration, Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg, Austria; Kraus: Institute of Pathology, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria

PY - 2022

Y1 - 2022

U2 - 10.4103/jpi.jpi_53_21

DO - 10.4103/jpi.jpi_53_21

M3 - Original Article

C2 - 35136673

SN - 2153-3539

VL - 13

SP - 6

JO - JOURNAL OF PATHOLOGY INFORMATICS

JF - JOURNAL OF PATHOLOGY INFORMATICS

ER -