A method of inspecting plants for contamination includes generating a first series of images of a plant using a camera mounted to a frame being moved along a planting bed by a harvester, identifying a region of interest displayed in the first series of images as a region of contamination on the plant based on a color criterion and a morphological criterion applied to the region of interest, and transmitting data including an instruction to increase a vertical distance between the plant and a cutter of the harvester to avoid harvesting the plant in response to identifying the region of interest as the region of contamination. The method further includes generating a second series of images of an additional plant as the frame continues to be moved along the planting bed by the harvester while the vertical distance between the plant and the cutter is being increased.

Systems and methods for quantification of an influence of scattered radiation in the analysis of an object a projection image is provided. Based on the projection image and on a characteristic of a tomography facility and/or of the object relating to the influence of the scattered radiation, at least one intermediate image is created. The at least one intermediate image is analyzed using an artificial neural network to quantify the influence of the scattered radiation.

Disclosed is a computer-implemented method of overlaying a representation of a medical instrument over a two-dimensional medical image. It finds at least one feature point along a detection line which is defined relative to the medical instrument in the medical image, calculates a geometrical quantity based on this feature point and adds the geometrical quantity to the two-dimensional medical image.

A spatial orientation determining system includes an imaging device configured for obtaining an image of a surgical site, a surgical tool defining a central axis, a processor, and a memory. The surgical tool configured for operating at the surgical site and disposed thereon, a fiducial marker generated by a machine learning network. The fiducial marker includes a distinct pattern. The memory, includes instructions which when executed by the processor, cause the system to: access an image from the imaging device, the image including a portion of the fiducial marker; determine a spatial positioning of the surgical tool based on at least a visible portion of the fiducial marker and the distinct pattern; and determine, based on the spatial positioning, a positioning, an orientation, and/or a rotational angle of the surgical tool.

Image analysis method for quantitative assessment of a degree of coordination of uterine motion, comprising: obtaining a recording of a uterus; tracking, in the recording, at least two propagation waves of uterine motion in at least two different regions of the uterus and/or on at least two different times; and determining the degree of coordination of the uterine motion based on a similarity measure of at least two characteristics of the at least two propagation waves.

Systems and methods for measuring vitals in accordance with embodiments of the invention are illustrated. One embodiment includes a method for measuring vital signs. The method includes steps for identifying regions of interest (ROIs) from video data of an individual, generating temporal waveforms from the ROIs, analyzing the generated temporal waveforms to extract vital sign measurements, and generating outputs based on the analyzed temporal waveforms.

A method comprises: applying a first trained function to first input data to generate first output data, the first output data including first key elements; receiving second input data, the second input data being an X-ray image of an examination region acquired using a first collimation region; applying a second trained function to the second input data to generate second output data, the second output data including second key elements; receiving third input data in response to an incomplete set of second key elements, the third input data including the second key elements and an X-ray image of the examination region acquired using the first collimation region; applying a third trained function to the third input data to generate third output data, the third output data including an estimated third key element to complete the set of second key elements; and providing a complete set of second key elements.

Various methods and systems are provided for real-time image segmentation of medical image data. In one example, the real-time image segmentation of the medical image data may include updating an initial segmentation of the medical image data in real-time. The update may be based on a user input to a regularization brush applied to the medical image data, the user input to the regularization brush allowing modification of a volume of the initial segmentation.

An image recording system includes a processor. The processor acquires a time series RAW image group including a plurality of time series RAW images in a first time section. The processor extracts, from the time series RAW image group, a recording candidate RAW image group included in a second time section as a part of the first time section. The processor records at least one RAW image included in the recording candidate RAW image group as a recording target RAW image which is a RAW image to be recorded. The processor selects the recording target RAW image from the recording candidate RAW image group. The processor converts the RAW image which is not selected as the recording target RAW image from the recording candidate RAW image group or the time series RAW image group to compressed data, and records the compressed data.

A radiation imaging system comprises: an obtainment unit configured to obtain an image captured by radiation imaging; an image processing unit configured to generate a radiation image by applying image processing to the captured image; a display control unit configured to display, on a display unit, the radiation image with the image processing applied thereto; and a control unit configured to determine, based on an operation input, whether confirmation of the radiation image displayed on the display unit is complete.