Development and Validation of a Machine Learning Algorithm for Deteting Retinal Detachments in Ultra-Wide-Field Fundus Ophthalmoloscopy

Rita Laiginhas, Diogo Cabral, Amandio Rocha-Sousa, Manuel Falcao

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

Original language	English
Journal	Investigative ophthalmology & visual science
Volume	61
Issue number	9
Publication status	Published - Jul 2020

Cite this

@article{9dd83fd66aff4fce9d4b9ad129f24fce,

title = "Development and Validation of a Machine Learning Algorithm for Deteting Retinal Detachments in Ultra-Wide-Field Fundus Ophthalmoloscopy",

author = "Rita Laiginhas and Diogo Cabral and Amandio Rocha-Sousa and Manuel Falcao",

year = "2020",

month = jul,

language = "English",

volume = "61",

journal = "Investigative ophthalmology & visual science",

issn = "0146-0404",

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

number = "9",

}

TY - JOUR

T1 - Development and Validation of a Machine Learning Algorithm for Deteting Retinal Detachments in Ultra-Wide-Field Fundus Ophthalmoloscopy

AU - Laiginhas, Rita

AU - Cabral, Diogo

AU - Rocha-Sousa, Amandio

AU - Falcao, Manuel

PY - 2020/7

Y1 - 2020/7

M3 - Meeting Abstract

SN - 0146-0404

VL - 61

JO - Investigative ophthalmology & visual science

JF - Investigative ophthalmology & visual science

IS - 9

ER -