公开(公告)号：US20200349706A1

公开(公告)日：2020-11-05

申请号：US16862462

申请日：2020-04-29

申请人： CURACLOUD CORPORATION

发明人： Feng Gao ,  Hao-Yu Yang ,  Youbing Yin ,  Yue Pan ,  Xin Wang ,  Junjie Bai ,  Yi Wu ,  Kunlin Cao ,  Qi Song

IPC分类号： G06T7/00

摘要： Embodiments of the disclosure provide systems and methods for biomedical image analysis. A method may include receiving a plurality of unannotated biomedical images, including a first image and a second image. The method may also include determining that the first image is in a first view and the second image is in a second view. The method may further include assigning the first image to a first processing path for the first orientation. The method may additionally include assigning the second image to a second processing path for the second view. The method may also include processing the first image in the first processing path in parallel with processing the second image in the second processing path. The first path may share processing parameters with the second path. The method may further include providing a diagnostic output based on the processing of the first image and the second image.

公开(公告)号：US20200349697A1

公开(公告)日：2020-11-05

申请号：US16861114

申请日：2020-04-28

申请人： CURACLOUD CORPORATION

发明人： Feng Gao ,  Youbing Yin ,  Danfeng Guo ,  Pengfei Zhao ,  Xin Wang ,  Hao-Yu Yang ,  Yue Pan ,  Yi Lu ,  Junjie Bai ,  Kunlin Cao ,  Qi Song ,  Xiuwen Yu

IPC分类号： G06T7/00 ,  G06T11/00 ,  G06K9/46 ,  G06K9/62 ,  G06T1/00 ,  G06T7/11 ,  G06N3/04 ,  G06N3/08 ,  A61B5/02 ,  A61B5/00

摘要： Embodiments of the disclosure provide systems and methods for detecting an intracerebral hemorrhage (ICH). The system includes a communication interface configured to receive a sequence of image slices and an end-to-end multi-task learning model. The sequence of image slices is the head scan images of a subject acquired by an image acquisition device. The end-to-end multi-task learning model includes an encoder, a bi-directional Convolutional Recurrent Neural Network (ConvRNN), a decoder, and a classifier. The system further includes at least one processor configured to extract feature maps from each image slice using the encoder, capture contextual information between adjacent image slices using the bi-directional ConvRNN, and detect the ICH of the subject using the classifier based on the extracted feature maps of the image slices and the contextual information or segment each image slice using the decoder to obtain an ICH region based on the extracted feature maps of the image slice.

公开(公告)号：US11416994B2

公开(公告)日：2022-08-16

申请号：US16862462

申请日：2020-04-29

申请人： CURACLOUD CORPORATION

发明人： Feng Gao ,  Hao-Yu Yang ,  Youbing Yin ,  Yue Pan ,  Xin Wang ,  Junjie Bai ,  Yi Wu ,  Kunlin Cao ,  Qi Song

IPC分类号： G06T7/00

摘要： Embodiments of the disclosure provide systems and methods for biomedical image analysis. A method may include receiving a plurality of unannotated biomedical images, including a first image and a second image. The method may also include determining that the first image is in a first view and the second image is in a second view. The method may further include assigning the first image to a first processing path for the first orientation. The method may additionally include assigning the second image to a second processing path for the second view. The method may also include processing the first image in the first processing path in parallel with processing the second image in the second processing path. The first path may share processing parameters with the second path. The method may further include providing a diagnostic output based on the processing of the first image and the second image.

公开(公告)号：US11170504B2

公开(公告)日：2021-11-09

申请号：US16861114

申请日：2020-04-28

申请人： CURACLOUD CORPORATION

发明人： Feng Gao ,  Youbing Yin ,  Danfeng Guo ,  Pengfei Zhao ,  Xin Wang ,  Hao-Yu Yang ,  Yue Pan ,  Yi Lu ,  Junjie Bai ,  Kunlin Cao ,  Qi Song ,  Xiuwen Yu

IPC分类号： G06K9/00 ,  G06T7/00 ,  G06K9/46 ,  G06K9/62 ,  G06T1/00 ,  G06T7/11 ,  G06N3/04 ,  G06N3/08 ,  A61B5/02 ,  A61B5/00 ,  G06T11/00

摘要： Embodiments of the disclosure provide systems and methods for detecting an intracerebral hemorrhage (ICH). The system includes a communication interface configured to receive a sequence of image slices and an end-to-end multi-task learning model. The sequence of image slices is the head scan images of a subject acquired by an image acquisition device. The end-to-end multi-task learning model includes an encoder, a bi-directional Convolutional Recurrent Neural Network (ConvRNN), a decoder, and a classifier. The system further includes at least one processor configured to extract feature maps from each image slice using the encoder, capture contextual information between adjacent image slices using the bi-directional ConvRNN, and detect the ICH of the subject using the classifier based on the extracted feature maps of the image slices and the contextual information or segment each image slice using the decoder to obtain an ICH region based on the extracted feature maps of the image slice.