@inproceedings{775ed942790a484680a42c333a7a44dd,
title = "Deep Learning Enables Virtual Histological Staining of Label-Free Tissue Sections Using Auto-Fluorescence",
abstract = "We report a data-driven method for label-free virtual histological staining of tissue sections using deep learning. This framework is successfully demonstrated by inferring multiple types of stains on different tissue types using auto-fluorescence signal.",
author = "Yair Rivenson and Hongda Wang and \{De Haan\}, Kevin and Zhensong Wei and Aydogan Ozcan",
note = "Publisher Copyright: {\textcopyright} 2019 The Author(s) 2019 OSA.; 2019 Conference on Lasers and Electro-Optics, CLEO 2019 ; Conference date: 05-05-2019 Through 10-05-2019",
year = "2019",
month = may,
day = "1",
doi = "10.23919/CLEO.2019.8749808",
language = "English",
series = "2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings",
address = "United States",
}