Abstract: A method for processing breast tomosynthesis images includes: obtaining multiple breast images, performing binarization operation and pooling operation to at least one marked breast image to obtain a lesion mask; training a convolutional neural network (CNN) according to the breast images and the lesion mask; obtaining multiple cropped images from the breast images of different layers according to a particular two-dimensional position, and inputting each cropped image into the CNN to obtain cropped heat maps; inputting the cropped heat maps into a recurrent neural network (RNN) in an order of the levels to obtain output heat maps, and combining the output heat maps to obtain a integrated heat map, and training the RNN according to the integrated heat map and the lesion mask.

Abstract: A multi-view mammogram image analysis method, multi-view mammogram image analysis system and non-transitory computer-readable medium are provided in this disclosure. The multi-view mammogram image analysis method includes the following operations: inputting a plurality of mammogram images; utilizing a symptom identification model to determine whether the mammogram images have an abnormal state, and generating a plurality of heat maps corresponding to the mammogram images; utilizing a false positive filtering model to determine whether the heat maps have a false positive feature, and generating an abnormal probability corresponding to the heat maps; and utilizing a first threshold to determine the abnormal probability, if the abnormal probability is greater than the first threshold, detecting and outputting a lesion position corresponding to the heat maps.

Abstract: A multi-view mammogram image analysis method, multi-view mammogram image analysis system and non-transitory computer-readable medium are provided in this disclosure. The multi-view mammogram image analysis method includes the following operations: inputting a plurality of mammogram images; utilizing a symptom identification model to determine whether the mammogram images have an abnormal state, and generating a plurality of heat maps corresponding to the mammogram images; utilizing a false positive filtering model to determine whether the heat maps have a false positive feature, and generating an abnormal probability corresponding to the heat maps; and utilizing a first threshold to determine the abnormal probability, if the abnormal probability is greater than the first threshold, detecting and outputting a lesion position corresponding to the heat maps.

Abstract: An integration device and an integration method thereof are provided. The integration device executes an artifact integration procedure to integrate the artifacts in a first database and the artifacts in the second database. Based on the access authority of each process role in the first database and the access authority of each process role added from the second database into the first database, the integration device further modifies a plurality of application programming interfaces associated with the integrated artifacts and modifies a plurality of processes according to the modified application programming interfaces. In addition, the integration device further executes a process role integration procedure to integrate the process roles of the first database and the process roles added from the second database into the first database.

Abstract: An integration device and an integration method thereof are provided. The integration device executes an artifact integration procedure to integrate the artifacts in a first database and the artifacts in the second database. Based on the access authority of each process role in the first database and the access authority of each process role added from the second database into the first database, the integration device further modifies a plurality of application programming interfaces associated with the integrated artifacts and modifies a plurality of processes according to the modified application programming interfaces. In addition, the integration device further executes a process role integration procedure to integrate the process roles of the first database and the process roles added from the second database into the first database.

Abstract: The present invention relates to a business process management system. The business process management system includes a database, a memory device and a business process management engine. The database is configured to store a business process model and configured to create storage fields in advance for a plurality of process variables included in the business process model according to at least one artifact corresponding to the business process model. The at least one artifact records an association between the process variables and the created storage fields. The business process management engine is configured to copy the business process model from the database to the memory device to execute the business process model at the memory device and configured to simultaneously store variable values corresponding to the process variables from the memory to the created storage fields of the database according to the association during executing the business process model.

Abstract: An electronic device and a video object tracking method are provided. The electronic device includes a video providing unit and a processing unit. The video providing unit is configured to provide a video. The process unit is configured to: extract a video segment of the video which includes a plurality of successive frames; define a position of at least one first object in a first frame of the successive frames; define a position of the at least one first object in a second frame of the successive frames; and determine the position of the at least one first object in each frame appearing between the first frame and the second frame according to the positions of the at least one first object in the first frame and the second frame.

Abstract: An electronic device and a video object motion trajectory modification method thereof are provided. The electronic device includes a video providing unit and a processing unit. The video providing unit is configured to provide a video. The processing unit is configured to extract a video segment from the video. The video segment includes a plurality of successive frames which include a common object. The processing unit is further configured to calculate at least one curve and one control point thereof. The at least one curve corresponds to a motion trajectory of the common object in the successive frames. The processing unit is also configured to adjust the at least one curve via the control point to modify the motion trajectory. The video object motion trajectory modification method is applied to the electronic device to implement the aforesaid operations.