Performance of a novel deep learning algorithm for Automatic Retinal Fluid Quantification in Home OCT Images

David Lally, Judy E. Kim, Michael J. Elman, Oren Tomkins-Netzer, Yael Alon, Elad Bergman, Anat Loewenstein

Research output: Contribution to journal › Meeting Abstract › peer-review

Original language	English
Journal	INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
Volume	61
Issue number	7
State	Published - Jun 2020

Cite this

@article{b4005c2d865f40a6bf62344a3fc09a7b,

title = "Performance of a novel deep learning algorithm for Automatic Retinal Fluid Quantification in Home OCT Images",

author = "David Lally and Kim, {Judy E.} and Elman, {Michael J.} and Oren Tomkins-Netzer and Yael Alon and Elad Bergman and Anat Loewenstein",

year = "2020",

month = jun,

language = "אנגלית",

volume = "61",

journal = "Investigative Ophthalmology and Visual Science",

issn = "0146-0404",

publisher = "Association for Research in Vision and Ophthalmology Inc.",

number = "7",

}

TY - JOUR

T1 - Performance of a novel deep learning algorithm for Automatic Retinal Fluid Quantification in Home OCT Images

AU - Lally, David

AU - Kim, Judy E.

AU - Elman, Michael J.

AU - Tomkins-Netzer, Oren

AU - Alon, Yael

AU - Bergman, Elad

AU - Loewenstein, Anat

PY - 2020/6

Y1 - 2020/6

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.abstract???

SN - 0146-0404

VL - 61

JO - Investigative Ophthalmology and Visual Science

JF - Investigative Ophthalmology and Visual Science

IS - 7

ER -