公开(公告)号：US11887299B2

公开(公告)日：2024-01-30

申请号：US17191909

申请日：2021-03-04

申请人： Acer Incorporated ,  National Taiwan University Hospital

发明人： Chun-Hsien Yu ,  Jehn-Yu Huang ,  Cheng-Tien Hsieh ,  Yun-Ting Lin

IPC分类号： G06K9/00 ,  G06T7/00 ,  G06T7/10 ,  G06N3/08

CPC分类号： G06T7/0012 ,  G06N3/08 ,  G06T7/10 ,  G06T2207/10024 ,  G06T2207/10101 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30041 ,  G06T2207/30101

摘要： An image processing system includes an ophthalmoscope device and a processor. The ophthalmoscope device is configured to obtain a color fundus image. The processor is configured to receive the color fundus image; generate a blood vessel segmentation image that corresponds to the color fundus image using a computer vision algorithm or a deep learning model; preprocess the color fundus image and the blood vessel segmentation image to obtain an initial input image; and input the initial input image into a convolutional neural network. The convolutional neural network outputs a value. In addition, the processor generates fundus image analysis information from the cup-to-disc ratio and the value.

公开(公告)号：US20200178930A1

公开(公告)日：2020-06-11

申请号：US16419020

申请日：2019-05-22

申请人： Acer Incorporated

发明人： Chun-Kai Huang ,  Ai-Hsien Li ,  Yen-Ju Hsiao ,  Yun-Ting Lin

IPC分类号： A61B8/08 ,  G06N3/08

摘要： A method and a system for evaluating a cardiac status, an electronic device and an ultrasonic scanning device are provided. The method includes: obtaining at least first image, wherein each of the first images is a two-dimensional image and includes a first cardiac image; training a depth learning model by the first image; and analyzing at least one second image by using the trained depth learning model to automatically evaluate a cardiac status of a user, wherein each of the second image is the two-dimensional image and includes a second cardiac image.

公开(公告)号：US20200097383A1

公开(公告)日：2020-03-26

申请号：US16231419

申请日：2018-12-22

申请人： Acer Incorporated

发明人： Yun-Ting Lin ,  Yen-Ju Hsiao ,  Shu-Cheng Liu ,  Cheng-Yi Lin

IPC分类号： G06F11/34 ,  G06T1/00

摘要： Embodiments of the present disclosure provide a method for evaluating (e.g., estimating) an efficiency of a machine vision, which includes: obtaining an image, wherein the image presents a plurality of objects which include a first object and a second object; performing an image recognition on the images by the machine vision to obtain a prediction block corresponding to at least one of the first object and the second object; merging a first standard block corresponding to the first object and a second standard block corresponding to the second object to obtain a third standard block; and obtaining evaluation information according to the third standard block and the prediction block, wherein the evaluation information reflects a prediction efficiency of the machine vision for the objects in the image.

公开(公告)号：US10983892B2

公开(公告)日：2021-04-20

申请号：US16231419

申请日：2018-12-22

申请人： Acer Incorporated

发明人： Yun-Ting Lin ,  Yen-Ju Hsiao ,  Shu-Cheng Liu ,  Cheng-Yi Lin

IPC分类号： G06F11/34 ,  G06T1/00

摘要： Embodiments of the present disclosure provide a method for evaluating (e.g., estimating) an efficiency of a machine vision, which includes: obtaining an image, wherein the image presents a plurality of objects which include a first object and a second object; performing an image recognition on the images by the machine vision to obtain a prediction block corresponding to at least one of the first object and the second object; merging a first standard block corresponding to the first object and a second standard block corresponding to the second object to obtain a third standard block; and obtaining evaluation information according to the third standard block and the prediction block, wherein the evaluation information reflects a prediction efficiency of the machine vision for the objects in the image.