A Novel Artificial Intelligence-Based Approach for Quantitative Assessment of Angiogenesis in the Ex Ovo CAM Model

L Faihs; B Firouz; P Slezak; C Slezak; M Weissensteiner; T Ebner; Nassim Ghaffari Tabrizi-Wizsy; K Schicho; P Dungel

doi:10.3390/cancers14174273

A Novel Artificial Intelligence-Based Approach for Quantitative Assessment of Angiogenesis in the Ex Ovo CAM Model

L Faihs
, B Firouz
, P Slezak
, C Slezak
, M Weissensteiner
, T Ebner
, Nassim Ghaffari Tabrizi-Wizsy
, K Schicho
, P Dungel

Division of Pathophysiology and Immunology

Research output: Contribution to journal › Research article

25 Citations (Web of Science)

Original language	English
Journal	Cancers
DOIs	https://doi.org/10.3390/cancers14174273
Publication status	Published - 2022

UN SDGs

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

SDG 3 Good Health and Well-being

Branches of science

305 Other Human Medicine, Health Sciences

Research Fields

Cancer Research

DOI

10.3390/cancers14174273

Links

Cite this

@article{d14470159b984df7a8c3da366db2b349,

title = "A Novel Artificial Intelligence-Based Approach for Quantitative Assessment of Angiogenesis in the Ex Ovo CAM Model",

author = "L Faihs and B Firouz and P Slezak and C Slezak and M Weissensteiner and T Ebner and \{Ghaffari Tabrizi-Wizsy\}, Nassim and K Schicho and P Dungel",

year = "2022",

doi = "10.3390/cancers14174273",

language = "English",

journal = "Cancers",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

}

TY - JOUR

T1 - A Novel Artificial Intelligence-Based Approach for Quantitative Assessment of Angiogenesis in the Ex Ovo CAM Model

AU - Faihs, L

AU - Firouz, B

AU - Slezak, P

AU - Slezak, C

AU - Weissensteiner, M

AU - Ebner, T

AU - Ghaffari Tabrizi-Wizsy, Nassim

AU - Schicho, K

AU - Dungel, P

PY - 2022

Y1 - 2022

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000851011200001

UR - https://pubmed.ncbi.nlm.nih.gov/36077809

UR - https://pmc.ncbi.nlm.nih.gov/articles/PMC9454718

U2 - 10.3390/cancers14174273

DO - 10.3390/cancers14174273

M3 - Research article

C2 - 36077809

JO - Cancers

JF - Cancers

ER -