13 results about "Functional Map" patented technology

The invention relates to the technical field of image processing, in particular to a mobile phone screen quality inspection method and system based on a screen picture inspection partition, and the method comprises the following steps: detecting partitions divided based on the surface of a mobile phone screen, recognizing a sudden change interval, analyzing the consistency of a gray gradient direction and an edge fitting vector, screening abnormal partitions, and extracting color and texture features. And evaluating deviation from a screen flatness curve, screening the subarea of which the response coverage area needs to be adjusted, and outputting a repairing and adjusting instruction set. According to the method, the image detection area is divided, and the abnormality is screened in combination with the gray slope and the edge deviation abrupt change, so that the recognition accuracy and the response speed are improved, the gradient direction and edge vector consistency are fused to enhance junction defect judgment, and the complex abnormality linkage screening is realized in combination with the color and texture features. The risk level is quantified based on the deviation flatness trend, and the functional diagram is linked to realize repair response scheduling, so that the detection reliability and decision pertinence are improved.

The invention discloses a function map generation method and system. The system uses an artificial intelligence model to execute the following steps: obtaining a difficult point and first data related to the difficult point from first reply content of a first inquiry corresponding to the difficult point; obtaining the use target and second data related to the use target from second reply content of the second inquiry corresponding to the use target; obtaining a practical function and a target type based on the difficulty point and the use target; obtaining a required function based on the target type; performing semantic comparison on the practical function and the required function to obtain difference set content; and generating a function map based on the target type, the real function and the difference set content.

The application provides a tumor immune microenvironment multi-cell recognition and spatial analysis system, comprising: an intrinsic signal generation module generating an initial intrinsic signal vector; a preliminary functional marker module generating a preliminary phenotype classification label map based on spatial centroid coordinates of cell objects; a functional neighborhood construction module calculating and generating a functional neighborhood feature vector; a composite feature splicing module constructing a composite state feature vector; an effective function determination module decoding to obtain a continuous value feature vector output by a function determination model representing the final function strength under the regulation of the microenvironment; and a functional map rendering module rendering to generate a cell effective function map under the regulation of the environment. The application solves the problem that, in the prior art, when interpreting cell functions, the intrinsic state information of the cells and the local functional microenvironment context information cannot be effectively fused, resulting in deviation in the description of the spatial distribution map of tumor microenvironment function heterogeneity.

The invention discloses a multi-photon mammary gland spectral imaging and transmission and reflection fusion imaging method, which specifically comprises the following steps: sequentially transmitting three incident lights with different wavelengths and the same incident intensity to the mammary gland on two sides according to a time sequence, and collecting transmission intensity two-dimensional published data after each single-wavelength incident light penetrates through the mammary gland on two sides; calculating an oxyhemoglobin saturation variable quantity delta Oxy and a hemoglobin concentration variable quantity delta ODBV between the bilateral breast tissues corresponding to each pixel, and generating a two-dimensional functional diagram of the oxyhemoglobin saturation variable quantity and a two-dimensional functional diagram of the hemoglobin concentration variable quantity by using a computer; incident light with three wavelengths is used for simultaneously transmitting the mammary gland on the affected side, and a transmission original image obtained after the incident light penetrates through the mammary gland is collected; the method comprises the following steps of: irradiating the surface of the transmitting side of the mammary gland on the affected side by using first-area near-infrared light and second-area near-infrared light according to a time sequence, and collecting a shallow surface layer vascular graph and a deep surface layer vascular graph which are obtained after the two near-infrared light are reflected by the mammary gland; and fusing the two blood vessel images with the transmission original image to obtain a mammary gland tissue form fusion image.

A system is described, which provides a realtime, thermal-based intraoperative brain mapping system. In general, the system integrates a thermal camera that provides a map of temperature changes, while simultaneously providing stimuli and recording behavioral responses. The system can implement real-time processing of data to produce functional maps. The present disclosure also provides methods for characterizing the spatial and temporal properties of the thermodynamic response, which can be used to optimize an infrared mapping procedure.

The application provides a tumor immune microenvironment multi-cell recognition and spatial analysis system, comprising: an intrinsic signal generation module generating an initial intrinsic signal vector; a preliminary functional marker module generating a preliminary phenotype classification label map based on spatial centroid coordinates of cell objects; a functional neighborhood construction module calculating and generating a functional neighborhood feature vector; a composite feature splicing module constructing a composite state feature vector; an effective function determination module decoding to obtain a continuous value feature vector output by a function determination model representing the final function strength under the regulation of the microenvironment; and a functional map rendering module rendering to generate a cell effective function map under the regulation of the environment. The application solves the problem that, in the prior art, when interpreting cell functions, the intrinsic state information of the cells and the local functional microenvironment context information cannot be effectively fused, resulting in deviation in the description of the spatial distribution map of tumor microenvironment function heterogeneity.

The invention discloses a multi-mode mammary gland spectral imaging and morphological imaging method. The method comprises the following steps: respectively scanning mammary glands on two sides by using ultrasonic waves, and determining the lesion position and area of the mammary glands on the affected side; the method comprises the following steps of: sequentially transmitting three incident lights with different wavelengths and the same incident intensity to the mammary glands on the two sides according to a time sequence, and respectively acquiring transmission intensity two-dimensional release data of each single-wavelength incident light after the single-wavelength incident light penetrates through the mammary glands on the two sides by using a CCD (Charge Coupled Device); calculating an oxyhemoglobin saturation variable quantity delta Oxy and a hemoglobin concentration variable quantity delta ODBV between the bilateral breast tissues corresponding to each pixel, and generating a two-dimensional functional diagram of the oxyhemoglobin saturation variable quantity and a two-dimensional functional diagram of the hemoglobin concentration variable quantity by using a computer; the incident light with the three wavelengths is used for transmitting the mammary gland on the affected side at the same time, and a transmission original image obtained after the incident light penetrates through the mammary gland is collected; and inputting the transmission original image into an equal-gray-scale curve processing device, a blood vessel manifestation processing device and an edge sharpening processing device to obtain an equal-gray-scale curve graph, a blood vessel manifestation graph and an edge sharpening graph.

A method for mapping brain function of a subject includes receiving a dataset of resting state fMRI (RS-fMRI) three dimensional (3D) image frames of the subject's brain, and inputting the 3D image frames to a deep learning artificial neural network. For each voxel of each 3D image frame and for each resting state network of a plurality of resting state networks, the deep learning artificial neural network calculates a probability that the voxel belongs to the resting state network. The deep learning artificial neural network is trained beforehand using a plurality of 3D image frames including previously defined resting state networks obtained from a plurality of calibration subjects. The method includes generating one or more functional map of the plurality of resting state networks of the subject's brain using the probabilities calculated by the artificial neural network.

This disclosure relates to a gravity‑driven infusion system that uses image‑based monitoring to regulate flow. A contrasting, infrared‑backlit wall and camera capture pendant drops and meniscus levels within a transparent drip chamber. The controller defines a baseline referenced to the spout or meniscus and fits sparse spline points on the drop perimeter to derive geometric functionals, such as neck width and centroid height. Temporal changes of these functionals map directly to instantaneous flow without explicit volume integration. An optional Young–Laplace model provides a physics‑based boundary and confidence metric. A meniscus trend yields a low‑frequency flow estimate. Confidence‑weighted fusion controls a flow‑control valve that compresses a multi‑lumen insert. An independent safety occluder and watchdog ensure fail‑safe shutdown. A medication library stores fluid‑aware calibration. Multi‑source embodiments orchestrate multiple controllers with virtual head‑height equalization and verified handoffs. It performs pre‑infusion checks, logs uncertainty, and supports tilt compensation too. Continuous stream detection triggers alarms.

The invention discloses a multi-mode multi-photon transmission and reflection mammary gland spectral imaging and morphological imaging method. The method comprises the following steps: determining the position and area of a mammary gland focus on an affected side by using ultrasonic waves; incident light with three wavelengths is sequentially used for transmitting the mammary glands on the two sides, and the transmission intensity of each single-wavelength incident light after penetrating through the mammary glands on the two sides is collected; generating a two-dimensional functional diagram of the oxyhemoglobin saturation variable quantity and a two-dimensional functional diagram of the hemoglobin concentration variable quantity according to the oxyhemoglobin saturation variable quantity and the hemoglobin concentration variable quantity between the bilateral mammary gland tissues corresponding to each pixel; incident light with three wavelengths is used for transmitting the affected side mammary gland, and a transmission original image is obtained; irradiating the mammary gland on the affected side by using incident light with two wavelengths to obtain a shallow surface layer blood vessel map and a deep surface layer blood vessel map; fusing the two blood vessel images with the transmission original image to obtain a mammary tissue form fusion image; and inputting the transmission original image into an equal-gray-scale curve processing device, a blood vessel manifestation processing device and an edge sharpening processing device to obtain an equal-gray-scale curve graph, a blood vessel manifestation graph and an edge sharpening graph.

The invention belongs to the technical field of nerve regulation and control, and discloses a visual perception decision closed-loop nerve regulation and control system, which comprises an individualized functional atlas construction and target spot positioning module for constructing an individualized functional atlas of a region based on a visual perception-decision task normal form, collecting a structure image after an MRI development marker is arranged, and positioning the structure image; positioning and registering the mounting position of the implantable interface base based on the functional map, the structural image and the MRI developing marker; the MRI compatible targeted light stimulation interface module comprises an implantable interface base, a quick-release grid plugboard and a stepping optical fiber pin suite, and the behavior-brain network feedback driven closed-loop regulation and control module is used for executing nerve stimulation, collecting behavior and brain network signals as feedback indexes, modeling stimulation parameters and the feedback indexes, and updating the stimulation parameters according to a modeling result. The system can realize high-precision, systematized and individualized nerve regulation and control.

This disclosure relates to a gravity-driven infusion system that uses image-based monitoring to regulate flow. A contrasting, infrared-backlit wall and camera capture pendant drops and meniscus levels within a transparent drip chamber. The controller defines a baseline referenced to the spout or meniscus and fits sparse spline points on the drop perimeter to derive geometric functionals, such as neck width and centroid height. Temporal changes of these functionals map directly to instantaneous flow without explicit volume integration. An optional Young-Laplace model provides a physics-based boundary and confidence metric. A meniscus trend yields a low-frequency flow estimate. Confidence-weighted fusion controls a flow-control valve that compresses a multi-lumen insert. An independent safety occluder and watchdog ensure fail-safe shutdown. A medication library stores fluid-aware calibration. Multi-source embodiments orchestrate multiple controllers with virtual head-height equalization and verified handoffs. It performs pre-infusion checks, logs uncertainty, and supports tilt compensation too. Continuous stream detection triggers alarms.

An extended reality (XR)-based platform integrated with real-time eye-tracking technology that assesses brain functions by leveraging artificial intelligence (AI) models is provided. In a first aspect, a method includes: receiving sensor data from an extended reality (XR) apparatus, and generating, using an artificial intelligence (AI) model, a functional map of a brain of a subject based on the sensor data. The sensor data includes eye-tracking data and is collected by the XR apparatus while the subject performed one or more tasks presented to the subject in a virtual environment by the XR apparatus. The one or more tasks stimulate a plurality of neurotransmitters of the subject. The functional map indicates neurological function of a plurality of regions of the brain. Other aspects and features are also claimed and described.