Abstract: Disclosed is an image analysis method including inputting analysis data, including information regarding an analysis target cell to a deep learning algorithm having a neural network structure, and analyzing an image by calculating, by use of the deep learning algorithm, a probability that the analysis target cell belongs to each of morphology classifications of a plurality of cells belonging to a predetermined cell group.

Abstract: One variation of a method for interpreting pressures in plants includes: accessing a first image of a first set of sentinel plants in a field; accessing a second image of a second set of sentinel plants in the field, recorded during a first period; interpreting a first pressure of a stressor in the first set based on features extracted from the first image, captured during the first period; interpreting a second pressure in the second set based on features extracted from the second image; deriving a model associating pressure at the first set and pressure at the second set based on the first pressure and the second pressure; interpreting a third pressure in the first set based on features extracted from a third image captured during a second period; and predicting a fourth pressure in the second set during the second period based on the third pressure and the model.

Abstract: The disclosure provides a method for managing a cleaning route in a smart city, an Internet of Things system and storage medium. The method includes: obtaining target information of a target area within a preset time period based on an object platform; sending the target information to a management platform through a sensor network platform; determining a cleaning route of the target area by processing the target information of the target area based on the management platform, including: determining an estimated amount of fallen leaves of each section of road in the target area; determining an estimated falling range of fallen leaves of each section of road in the target area; determining a cleaning difficulty evaluation value of each section of road based on the estimated amount of fallen leaves and the estimated falling range; and determining a cleaning route based on the cleaning difficulty evaluation value.

Abstract: Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) receives one or more positioning reference signals from a first transmission-reception point (TRP) involved in a positioning session with the UE, detects whether or not there is a positioning bias event associated with the first TRP based on one or more parameters related to the one or more positioning reference signals, the positioning bias event affecting an accuracy of a location estimate of the UE, and transmits, in response to the detection that there is a positioning bias event, a report of the positioning bias event to a network node. Upon receiving the report, the network node performs one or more corrective actions to address the positioning bias event.

Abstract: An analysis apparatus analyses a video image signal comprising successive frames of imaging an endoscopy procedure. A machine learning block analyses the video image signal using a machine learning technique that classifies regions of the frames as belonging to one of plural classes corresponding to respective types of image artefact. The classes include a motion blur class corresponding to motion blur of the image, at least one erroneous exposure class corresponding to a type of erroneous exposure of the image, and at least one noise artefact class corresponding to a type of image artefact that is noise. A quality score block derives quality scores representing image quality of the successive frames based on the classified regions.

Abstract: A method and system having instructions to perform actions include obtaining images of an agricultural environment including a first image comprising at least one background portion and one or more regions of interest, implementing a machine learning (ML) algorithm on a portion of the first image including a portion of the background portion and the one or more regions of interest, detecting a plurality of objects associated with a plurality of real-world objects in the agricultural environment in at least one region of interest in the one or more regions of interest of the first image including detecting a first object and detecting a second object, implementing a second algorithm on the portion of the first image comprising the first object to detect one or more divided features of the first object, tracking a feature of the one or more divided features across subsequent images as the moving platform traverses the agricultural environment, tracking the second object, and selecting a target action configured

Abstract: Disclosed are a method and an apparatus of processing image. The method includes: obtaining an initial bone segmentation result; and fusing the initial bone segmentation result based on characteristics of and correspondences between a plurality of bone segmentation results in the initial bone segmentation result, to obtain a target bone segmentation result. The initial bone segmentation result includes the plurality of bone segmentation results generated by a plurality of different deep learning models. Methods in the embodiments of the present application can improve precision of a fusion result of the plurality of bone segmentation results.

Abstract: An information processing apparatus including at least one processor, wherein the processor is configured to cause a learning model that is used to extract a region of interest from an input image, to perform learning in response to an input of a pseudo image generated in a case where a pixel value of at least a part of an original image obtained by imaging a subject is changed, as data for learning.

Abstract: The invention relates to a method and a system for preparing data on dynamic spatial scenarios, to a computer-supported method, to a system for training artificial neural networks, to a computer-supported method, and to a system for analyzing sensor data. A display of a time curve of an angular sector covered by another object from the perspective of an ego object is generated. The time curve is ascertained from sensor data, and the sensor data characterizes a dynamic spatial scenario with respect to the ego object and at least one other object.

Abstract: A system and method for analyzing a plurality of tissue image samples at different stages of image processing in order to establish the level of fibrosis within a patient from which the tissue image sample was retrieved. Various embodiments incorporate machine learning techniques which enable an automated progressive approach to effectively and efficiently diagnosing fibrotic conditions based on tissue image samples.

Abstract: Apparatuses, systems, and techniques are described to determine locations of objects using images including digital representations of those objects. In at least one embodiment, a gaze of one or more occupants of a vehicle is determined independently of a location of one or more sensors used to detect those occupants.

Abstract: Methods include applying a first stain composition comprising a fluorescent counterstain to a biological sample, measuring information corresponding to one or more stains of the first stain composition, removing the fluorescent counterstain from the biological sample, applying a second stain composition to the biological sample, measuring information corresponding to one or more stains of the second stain composition in the biological sample, where the one or more stains include a fluorescent label, and generating a first image of the biological sample, where the first image corresponds to a pattern of simulated hematoxylin staining in the biological sample.

Abstract: A system for distributed phased array multiple input multiple output (DPA-MIMO) communications is disclosed. The system includes beamforming (BF) modules. Each BF module comprises a beamforming antenna, a downconverter that downconverts a beamformed antenna radio frequency signal to an intermediate frequency signal, and an upconverter that upconverts an intermediate frequency signal to a radio frequency signal and sends said radio frequency signal to said beamforming antenna for transmission. The system further includes intermediate frequency (IF) radios. Each IF radio comprises a downconverter that downconverts an intermediate frequency signal sent from a BF module to a baseband signal, and an upconverter that upconverts said baseband signal to an intermediate frequency signal that is transmitted to a beamforming module.

Abstract: Systems, devices, methods and instructions are described for detecting GAN generated images. On embodiment involves receiving an images, generating co-occurrence matrices on color channels of the image, generating analysis of the image by using a convolutional neural network trained to analyze image features of the images based on the generated co-occurrence matrices and determining whether the image is a GAN generated image based on the analysis.

Abstract: A controller for assisting navigation in an interventional procedure includes a memory that stores instructions and a processor (310) that executes the instructions. When executed by the processor (310), the instructions cause the controller to implement a process that includes obtaining (S410) a three-dimensional model generated prior to an interventional procedure based on segmenting pathways with a plurality of branches in a subject of the interventional procedure. The process also includes determining (S470), during the interventional procedure, whether a current position of a tracked device (250) is outside of the pathways in the three-dimensional model. When the current position of the tracked device (250) is outside of the pathways in the three-dimensional model, the process includes deforming (S480) the three-dimensional model to the current position of the tracked device (250).

Abstract: This disclosure relates to the sharing of communications network resources. An example method includes presenting options and statuses of sharable network resources of a communications network, obtaining a request for one or more network resources of the communications network, and determining sharing availability of the one or more network resources. The method also includes updating further presenting the options and statuses of sharable network resources based on the determined sharing availability, and causing establishment of the one or more network resources.

Abstract: An apparatus according to an embodiment includes a processing circuit. The processing circuit is configured to obtain first Doppler waveform data related to a left ventricular blood inflow. The processing circuit is configured to detect positions of an E-wave and an A-wave in the first Doppler waveform data, by using the first Doppler waveform data and a trained model trained with training data that includes at least positions of an E-wave and an A-wave in each of a plurality of pieces of second Doppler waveform data related to left ventricular blood inflows and the plurality of pieces of second Doppler waveform data.

Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The agricultural treatment system may determine a first real-world geo-spatial location of the treatment system. The system can receive captured images depicting real-world agricultural objects of a geographic scene. The system can associate captured images with the determined geo-spatial location of the treatment system. The treatment system can identify, from a group of mapped and indexed images, images having a second real-word geo-spatial location that is proximate with the first real-world geo-spatial location. The treatment system can compare at least a portion of the identified images with at least a portion of the captured images. The treatment system can determine a target object and emit a fluid projectile at the target object using a treatment device.

Abstract: A computer-implemented method includes receiving a raw data set representing an image of a sample, identifying a first set of extremum by analyzing the raw data set using a metric algorithm, identifying a second set of extremum by analyzing the first set of extremum, and generating, based on the second set of extremum, a reconstructed image of the sample. A phase correcting scanner includes one or more processors, one or more scanner adapted to sequentially sample an object to generate a vector of raw data representing the object in a Lissajous pattern, and memory storing instructions that, when executed by the one or more processors, cause the computing system to receive the vector of raw data, identify a first set of extremum by analyzing the raw data set using a metric algorithm, and identify a second set of extremum by analyzing the first set of extremum.

Abstract: Breast image analysis systems and computer-implemented method for snip-triggered digital image report generation. An image review workstation of breast image analysis system presents an interactive user interface including a currently displayed image to a user through a display. Image review station receives user input selecting a snipping application of interactive user interface and activating a snipping application. A portion of currently displayed image is selected by execution of snipping application, and in response, image review workstation accesses a data store of acquired image files, identifies an acquired image file associated with currently displayed image, and generates a digital image report comprising the selected portion of the currently displayed image and selected metadata of the identified acquired image file and may also include user annotations such as spoken remarks and measurements and system generated data.