Defining disease endophenotypes in neovascular AMD by unsupervised machine learning of large-scale OCT data

Seeboeck Philipp; Waldstein Sebastian M.; Donner Rene; Gerendas Bianca S.; Sadeghipour Amir; Osborne Aaron; Schmidt-Erfurth Ursula; Langs Georg

首页> 外文期刊>Investigative ophthalmology & visual science >Defining disease endophenotypes in neovascular AMD by unsupervised machine learning of large-scale OCT data

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Defining disease endophenotypes in neovascular AMD by unsupervised machine learning of large-scale OCT data

机译：通过无监督机器学习在大型OCT数据中定义疾病的内肠型。

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来源
《Investigative ophthalmology & visual science》 |2017年第8期|共4页
作者
Seeboeck Philipp; Waldstein Sebastian M.; Donner Rene; Gerendas Bianca S.; Sadeghipour Amir; Osborne Aaron; Schmidt-Erfurth Ursula; Langs Georg;
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作者单位

Med Univ Vienna Christian Doppler Lab Ophthalm Image Anal Dept Ophthalmol &

Optometry Vienna;

Med Univ Vienna Christian Doppler Lab Ophthalm Image Anal Dept Ophthalmol &

Optometry Vienna;

Med Univ Vienna Computat Imaging Res Lab Dept Biomed Imaging &

Image Guided Therapy Vienna;

Med Univ Vienna Christian Doppler Lab Ophthalm Image Anal Dept Ophthalmol &

Optometry Vienna;

Med Univ Vienna Christian Doppler Lab Ophthalm Image Anal Dept Ophthalmol &

Optometry Vienna;

Genentech Inc San Francisco CA USA;

Med Univ Vienna Christian Doppler Lab Ophthalm Image Anal Dept Ophthalmol &

Optometry Vienna;

Med Univ Vienna Computat Imaging Res Lab Dept Biomed Imaging &

Image Guided Therapy Vienna;

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正文语种 eng
中图分类眼科学;
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1. Defining disease endophenotypes in neovascular AMD by unsupervised machine learning of large-scale OCT data [J] . Seeboeck Philipp, Waldstein Sebastian M., Donner Rene, Investigative ophthalmology & visual science . 2017,第8期

机译：通过无监督机器学习在大型OCT数据中定义疾病的内肠型。
2. Machine learning prediction of incidence of Alzheimer’s disease using large-scale administrative health data [J] . Ji Hwan Park, Han Eol Cho, Jong Hun Kim, npj Digital Medicine . 2020,第1期

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Defining disease endophenotypes in neovascular AMD by unsupervised machine learning of large-scale OCT data

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