Abstract: An application server provides an application to client devices. Users of the client devices interact with the application to perform a business process. Data regarding user interactions with the application is transmitted from the client devices to the application server. Based on an analysis of the received data, a bot generation server generates a bot to automate a process step. The bot generation server provides a heatmap user interface (UI) that provides information regarding the process steps. Using the heatmap UI, the administrator selects a process step for automation. In response to the selection, the hot generation server identifies, based on the observed behavior, relationships between input fields, typical values for input fields, typical order of data entry into input fields, or any suitable combination thereof. Based on the identified patterns, the hot generation server generates a bot to automate some or all of the process step.

Abstract: A system and method for vertebrae and intervertebral disc localization in magnetic resonance (MR) images is disclosed. In this method, a target spine MR image is segmented by generating a binary segmentation. A spinal cord line is then estimated on the segmented image. Neighboring vertebrae in a region of interest around the estimated spinal cord line are then localized by labeling vertebral regions based on characteristics, such as size and shape, of regions of connected segmented pixels within the regions of interest. A center point of an intervertebral disc between the neighboring vertebrae is then calculated by finding a point halfway between respective borders of the vertebral regions on a line connecting the centers of mass of the vertebral regions.

Abstract: A system and method for vertebrae and intervertebral disc localization in magnetic resonance (MR) images is disclosed. In this method, a target spine MR image is segmented by generating a binary segmentation. A spinal cord line is then estimated on the segmented image. Neighboring vertebrae in a region of interest around the estimated spinal cord line are then localized by labeling vertebral regions based on characteristics, such as size and shape, of regions of connected segmented pixels within the regions of interest. A center point of an intervertebral disc between the neighboring vertebrae is then calculated by finding a point halfway between respective borders of the vertebral regions on a line connecting the centers of mass of the vertebral regions.