| 发明名称 |
AUTOMATICALLY DETECTING EYE TYPE IN RETINAL FUNDUS IMAGES |
| 摘要 |
A computer-implemented method includes obtaining an image of a retinal fundus. A plurality of features is extracted from the image of the retinal fundus. The plurality of features includes at least one feature based on anatomical domain knowledge of the retinal fundus and at least one response of a pre-trained deep convolutional neural network to at least a portion of the image of the retinal fundus. The retinal fundus is determined to belong to a left eye or a right eye, based on an analysis of the plurality of features. |
| 申请公布号 |
US2017112372(A1) |
申请公布日期 |
2017.04.27 |
| 申请号 |
US201615047734 |
申请日期 |
2016.02.19 |
| 申请人 |
International Business Machines Corporation |
发明人 |
CHAKRAVORTY RAJIB;GARNAVI RAHIL;ROY PALLAB |
| 分类号 |
A61B3/00;A61B3/12;A61B3/14 |
主分类号 |
A61B3/00 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A computer-implemented method, comprising:
obtaining an image of a retinal fundus; extracting a plurality of features from the image of the retinal fundus, wherein the plurality of features includes at least one feature based on anatomical domain knowledge of the retinal fundus and at least one response of a pre-trained deep convolutional neural network to at least a portion of the image of the retinal fundus; and determining whether the retinal fundus belongs to a left eye or a right eye, based on an analysis of the plurality of features. |
| 地址 |
Armonk NY US |
