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公开(公告)号：US20220157048A1
公开(公告)日：2022-05-19
申请号：US17428955
申请日：2020-02-07
发明人： Daniel Shu Wei Ting , Gavin Siew Wei Tan , Tien Yin Wong , Ching-Yu Cheng , Chui Ming Gemmy Cheung , Yong Liu , Shaohua Li , Rick Siow Mong Goh
摘要： A computer-aided diagnosis (CAD) system for classification and visualisation of a 3D medical image comprises a classification component comprising a 2D convolutional neural network (CNN) that is configured to generate a prediction of one or more classes for 2D slices of the 3D medical image. The system also comprises a visualisation component that is configured to: determine, for a target class of said one or more classes, which slices belong to the target class; for each identified slice, determine, by back-propagation to an intermediate layer of the CNN, a contribution of each pixel of the identified slice to classification of the identified slice as belonging to the target class; and generate a heatmap that provides a visual indication of the contributions of respective pixels.
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公开(公告)号：US09684959B2
公开(公告)日：2017-06-20
申请号：US14423704
申请日：2013-08-26
发明人： Jun Cheng , Jiang Liu , Yanwu Xu , Fengshou Yin , Ngan Meng Tan , Wing Kee Damon Wong , Beng Hai Lee , Xiangang Cheng , Xinting Gao , Zhuo Zhang , Tien Yin Wong , Ching-Yu Cheng , Yim-lui Carol Cheung , Baskaran Mani , Tin Aung
CPC分类号： G06T7/0012 , G06K9/0061 , G06K9/00617 , G06K9/4633 , G06K9/6269 , G06K2009/4657 , G06T7/11 , G06T7/187 , G06T7/62 , G06T11/203 , G06T2200/28 , G06T2207/10024 , G06T2207/20016 , G06T2207/30041 , G06T2207/30196 , G06T2210/41
摘要： A method is proposed for automatically locating the optic disc or the optic cup in an image of the rear of an eye. A portion of the image containing the optic disc or optic cup is divided into sub-regions using a clustering algorithm. Biologically inspired features, and optionally other features, are obtained for each of the sub-regions. An adaptive model uses the features to generate data indicative of whether each sub-region is within or outside the optic disc or optic cup. The result is then smoothed, to form an estimate of the position of the optic disc or optic cup.
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3.发明申请METHODS AND SYSTEMS FOR AUTOMATIC LOCATION OF OPTIC STRUCTURES IN AN IMAGE OF AN EYE, AND FOR AUTOMATIC RETINA CUP-TO-DISC RATIO COMPUTATION 有权用于自动定位眼睛图像中的光学结构的方法和系统，以及用于自动立体镜对比度计算公开(公告)号：US20150187070A1
公开(公告)日：2015-07-02
申请号：US14423704
申请日：2013-08-26
发明人： Jun Cheng , Jiang Liu , Yanwu Xu , Fengshou Yin , Ngan Meng Tan , Wing Kee Damon Wong , Beng Hai Lee , Xiangang Cheng , Xinting Gao , Zhuo Zhang , Tien Yin Wong , Ching-Yu Cheng , Yim-lui Carol Cheung , Baskaran Mani , Tin Aung
CPC分类号： G06T7/0012 , G06K9/0061 , G06K9/00617 , G06K9/4633 , G06K9/6269 , G06K2009/4657 , G06T7/11 , G06T7/187 , G06T7/62 , G06T11/203 , G06T2200/28 , G06T2207/10024 , G06T2207/20016 , G06T2207/30041 , G06T2207/30196 , G06T2210/41
摘要： A method is proposed for automatically locating the optic disc or the optic cup in an image of the rear of an eye. A portion of the image containing the optic disc or optic cup is divided into sub-regions using a clustering algorithm. Biologically inspired features, and optionally other features, are obtained for each of the sub-regions. An adaptive model uses the features to generate data indicative of whether each sub-region is within or outside the optic disc or optic cup. The result is then smoothed, to form an estimate of the position of the optic disc or optic cup.
摘要翻译： 提出了一种用于将视盘或视杯自动定位在眼后方的图像中的方法。 使用聚类算法将包含视盘或视杯的图像的一部分划分成子区域。 为每个子区域获得生物启发特征，以及可选的其他特征。 自适应模型使用特征来产生指示每个子区域是否在视盘或视觉杯内或外的数据。 然后将结果平滑，以形成视盘或视杯的位置的估计。
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