Abstract: A blood vessel detecting apparatus and an image-based blood vessel detecting method are provided. In the method, first to-be-evaluated data is detected through a first detecting model to obtain a first detection result. Second to-be-evaluated data is detected through a second detecting model to obtain a second detection result. The first to-be-evaluated data includes one or more medical images obtained from photographing a blood vessel. The first detection result output by the first detecting model includes one or more pixels in the medical image belonging to the blood vessel. The first detecting model and the second detecting model are constructed based on a machine learning algorithm. The second to-be-evaluated data includes the first detection result. The second detection result output by the second detecting model includes one or more pixels in the medical image belonging to the blood vessel.

Abstract: A blood vessel detecting apparatus and an image-based blood vessel detecting method are provided. In the method, first to-be-evaluated data is detected through a first detecting model to obtain a first detection result. Second to-be-evaluated data is detected through a second detecting model to obtain a second detection result. The first to-be-evaluated data includes one or more medical images obtained from photographing a blood vessel. The first detection result output by the first detecting model includes one or more pixels in the medical image belonging to the blood vessel. The first detecting model and the second detecting model are constructed based on a machine learning algorithm. The second to-be-evaluated data includes the first detection result. The second detection result output by the second detecting model includes one or more pixels in the medical image belonging to the blood vessel.

Abstract: A blood vessel status evaluation method and a blood vessel status evaluation device are provided. The method includes: obtaining at least one angiography image corresponding to a target user; analyzing the angiography image by a first deep learning model to select a target image from the angiography image; analyzing the target image by at least one second deep learning model to determine a blood vessel type of the target user and divide a target blood vessel pattern in the target image into a plurality of scoring segments; and analyzing an output of the second deep learning model by a third deep learning model to obtain a blood vessel status of the target user.

Abstract: A blood vessel status evaluation method and a blood vessel status evaluation device are provided. The method includes: obtaining at least one angiography image corresponding to a target user; selecting a target image from the angiography image; determining a blood vessel type of the target user according to a distribution status of a target blood vessel pattern in the target image; establishing a blood vessel topology structure corresponding to the target blood vessel pattern which includes information of a width of a blood vessel in the target blood vessel pattern and information of an intersection of blood vessel in the target blood vessel pattern; and automatically analyzing a blood vessel status of the target user according to the blood vessel type and the blood vessel topology structure.

Abstract: A blood vessel status evaluation method and a blood vessel status evaluation device are provided. The method includes: obtaining at least one angiography image corresponding to a target user; analyzing the angiography image by a first deep learning model to select a target image from the angiography image; analyzing the target image by at least one second deep learning model to determine a blood vessel type of the target user and divide a target blood vessel pattern in the target image into a plurality of scoring segments; and analyzing an output of the second deep learning model by a third deep learning model to obtain a blood vessel status of the target user.

Abstract: A blood vessel status evaluation method and a blood vessel status evaluation device are provided. The method includes: obtaining at least one angiography image corresponding to a target user; selecting a target image from the angiography image; determining a blood vessel type of the target user according to a distribution status of a target blood vessel pattern in the target image; establishing a blood vessel topology structure corresponding to the target blood vessel pattern which includes information of a width of a blood vessel in the target blood vessel pattern and information of an intersection of blood vessel in the target blood vessel pattern; and automatically analyzing a blood vessel status of the target user according to the blood vessel type and the blood vessel topology structure.

Abstract: 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.

Abstract: The present invention related to a medical apparatus capable of recording physiological signals, which uses a EEG detecting circuit to detect the human brain and produce a EEG signal, a ECG detecting circuit to detect the human heart and produce a ECG signal, a microcontroller circuit to receive the EEG and ECG signals and produce a control signal, and a storage unit to receive the control signal and store the EEG and ECG signals. The EEG and ECG signals are correlated. Accordingly, physicians can analyze diseases conveniently.