Integrating phase-contrast and fluorescence microscopy data for the analysis of axonal degeneration in a model of intracerebral hemorrhage using deep learning.

Yamil Maluje; Marietta Zille

Integrating phase-contrast and fluorescence microscopy data for the analysis of axonal degeneration in a model of intracerebral hemorrhage using deep learning.

Yamil Maluje
, Marietta Zille

Department of Pharmaceutical Sciences

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

Original language	English
Title of host publication	Student Conference Proceedings 2022
Place of Publication	Lübeck
Publisher	‎ Infinite Science Publishing
Number of pages	4
ISBN (Print)	978-3-945954-67-6
Publication status	Published - Mar 2022

Austrian Fields of Science 2012

102019 Machine learning
102018 Artificial neural networks
106052 Cell biology
106025 Neurobiology

Cite this

@inproceedings{f456508390e243c08354360b7c3a9904,

title = "Integrating phase-contrast and fluorescence microscopy data for the analysis of axonal degeneration in a model of intracerebral hemorrhage using deep learning.",

author = "Yamil Maluje and Marietta Zille",

year = "2022",

month = mar,

language = "English",

isbn = "978-3-945954-67-6",

booktitle = "Student Conference Proceedings 2022",

publisher = " ‎ Infinite Science Publishing",

}

TY - GEN

T1 - Integrating phase-contrast and fluorescence microscopy data for the analysis of axonal degeneration in a model of intracerebral hemorrhage using deep learning.

AU - Maluje, Yamil

AU - Zille, Marietta

PY - 2022/3

Y1 - 2022/3

M3 - Contribution to proceedings

SN - 978-3-945954-67-6

BT - Student Conference Proceedings 2022

PB - ‎ Infinite Science Publishing

CY - Lübeck

ER -