Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility

Imaine Glahn; Andreas Haghofer; Taryn A. Donovan; Brigitte Degasperi; Alexander Bartel; Theresa Kreilmeier-Berger; Philip s. Hyndman; Hannah Janout; Charles-Antoine Assenmacher; Florian Bartenschlager; Pompei Bolfa; Michael J. Dark; Andrea Klang; Robert Klopeisch; Sophie Merz; Barbara Richter; Yvonne Schulman; Jonathan Ganz; Josef Scharinger; Marc Aubreville; Stephan M. Winkler; Christoph A. Bertram

doi:10.3390/vetsci11060278

Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility

Imaine Glahn
, Andreas Haghofer
, Taryn A. Donovan
, Brigitte Degasperi
, Alexander Bartel
, Theresa Kreilmeier-Berger
, Philip s. Hyndman
, Hannah Janout
, Charles-Antoine Assenmacher
, Florian Bartenschlager
, Pompei Bolfa
, Michael J. Dark
, Andrea Klang
, Robert Klopeisch
, Sophie Merz
, Barbara Richter
, Yvonne Schulman
, Jonathan Ganz
, Josef Scharinger
, Marc Aubreville

Stephan M. Winkler, Christoph A. Bertram

Institute of Computational Perception

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

Original language	English
Article number	278
Pages (from-to)	1-21
Number of pages	21
Journal	Veterinary Sciences
Volume	11
Issue number	6
DOIs	https://doi.org/10.3390/vetsci11060278
Publication status	Published - 17 Jun 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Fields of science

202002 Audiovisual media
102 Computer Sciences
102001 Artificial intelligence
102003 Image processing
102015 Information systems

JKU Focus areas

Digital Transformation

Access to Document

10.3390/vetsci11060278

Cite this

Glahn, I., Haghofer, A., Donovan, T. A., Degasperi, B., Bartel, A., Kreilmeier-Berger, T., Hyndman, P. S., Janout, H., Assenmacher, C.-A., Bartenschlager, F., Bolfa, P., Dark, M. J., Klang, A., Klopeisch, R., Merz, S., Richter, B., Schulman, Y., Ganz, J., Scharinger, J., ... Bertram, C. A. (2024). Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility. Veterinary Sciences, 11(6), 1-21. Article 278. https://doi.org/10.3390/vetsci11060278

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title = "Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility",

author = "Imaine Glahn and Andreas Haghofer and Donovan, \{Taryn A.\} and Brigitte Degasperi and Alexander Bartel and Theresa Kreilmeier-Berger and Hyndman, \{Philip s.\} and Hannah Janout and Charles-Antoine Assenmacher and Florian Bartenschlager and Pompei Bolfa and Dark, \{Michael J.\} and Andrea Klang and Robert Klopeisch and Sophie Merz and Barbara Richter and Yvonne Schulman and Jonathan Ganz and Josef Scharinger and Marc Aubreville and Winkler, \{Stephan M.\} and Bertram, \{Christoph A.\}",

year = "2024",

month = jun,

day = "17",

doi = "10.3390/vetsci11060278",

language = "English",

volume = "11",

pages = "1--21",

journal = "Veterinary Sciences",

issn = "2306-7381",

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}

Glahn, I, Haghofer, A, Donovan, TA, Degasperi, B, Bartel, A, Kreilmeier-Berger, T, Hyndman, PS, Janout, H, Assenmacher, C-A, Bartenschlager, F, Bolfa, P, Dark, MJ, Klang, A, Klopeisch, R, Merz, S, Richter, B, Schulman, Y, Ganz, J, Scharinger, J, Aubreville, M, Winkler, SM & Bertram, CA 2024, 'Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility', Veterinary Sciences, vol. 11, no. 6, 278, pp. 1-21. https://doi.org/10.3390/vetsci11060278

TY - JOUR

T1 - Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility

AU - Glahn, Imaine

AU - Haghofer, Andreas

AU - Donovan, Taryn A.

AU - Degasperi, Brigitte

AU - Bartel, Alexander

AU - Kreilmeier-Berger, Theresa

AU - Hyndman, Philip s.

AU - Janout, Hannah

AU - Assenmacher, Charles-Antoine

AU - Bartenschlager, Florian

AU - Bolfa, Pompei

AU - Dark, Michael J.

AU - Klang, Andrea

AU - Klopeisch, Robert

AU - Merz, Sophie

AU - Richter, Barbara

AU - Schulman, Yvonne

AU - Ganz, Jonathan

AU - Scharinger, Josef

AU - Aubreville, Marc

AU - Winkler, Stephan M.

AU - Bertram, Christoph A.

PY - 2024/6/17

Y1 - 2024/6/17

UR - https://www.scopus.com/pages/publications/85197913042

U2 - 10.3390/vetsci11060278

DO - 10.3390/vetsci11060278

M3 - Article

C2 - 38922025

SN - 2306-7381

VL - 11

SP - 1

EP - 21

JO - Veterinary Sciences

JF - Veterinary Sciences

IS - 6

M1 - 278

ER -

Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility

UN SDGs

Fields of science

JKU Focus areas

Access to Document

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