Abstract: Implementations are described herein for predicting soil organic carbon (“SOC”) content for agricultural fields detected in digital imagery. In various implementations, one or more digital images depicting portion(s) of one or more agricultural fields may be processed. The one or more digital images may have been acquired by a vision sensor carried through the field(s) by a ground-based vehicle. Based on the processing, one or more agricultural inferences indicating agricultural practices or conditions predicted to affect SOC content may be determined. Based on the agricultural inferences, one or more predicted SOC measurements for the field(s) may be determined.

Abstract: Disclosed herein are computer systems for, in part, image processing. Also disclosed herein are systems for processing ocular images of multiple imaging modalities to detect ocular diseases. Also disclosed herein are method comprising systems as described herein.

Abstract: A system and method of secure communication between computing devices based on physical unclonable functions such as memories having dissolvable conductive paths is provided. The method involves enrolling a client device, the client device having a PUF such as a pristine ReRAM. The PUF is enrolled in a secure environment by reading and storing the resistances of the PUF's addressable memory cells. The cells are categorized into “rugged” and “vulnerable” categories on the basis of their resistance, the vulnerable cells being those more likely to be permanently altered during the generations of PUF responses. The rugged cells are used for the generation of PUF responses for cryptographic key generation, but the vulnerable cells may be inspected to detect unauthorized 3rd party access to the PUF.

Abstract: The present disclosure relates to systems and methods for image storage. The methods may include obtaining a first image of a subject. The methods may further include obtaining a second image of the subject. The second image may include scan status information of the subject. The scan status information may be associated with a status of the subject when the first image is acquired. And The methods may also include storing the second image correspondingly with the first image.

Abstract: A method and device for generating a three dimensional (3D) bounding box of a region of interest (ROI) of a patient include receiving a two dimensional (2D) maximum intensity projection (MIP) image that is an axial view of the patient and a 2D MIP image that is a sagittal view of the patient. A first 2D bounding box of the ROI of the patient and a second 2D bounding box of the ROI of the patient are detected using the 2D MIP images. A 3D MIP image of the patient is received, and the 3D bounding box of the ROI of the patient is generated using the 3D MIP image, the first 2D bounding box, and the second 2D bounding box. The 3D MIP image including the 3D bounding box is provided.

Abstract: The present disclosure relates to a method and a system of quantitative intravascular optical coherence tomography.

Abstract: Embodiments of the present disclosure provide a method and apparatus for identifying an item. The method includes: acquiring an item image of a to-be-identified item; setting initial position coordinates of the to-be-identified item on the item image; and executing following identifying: inputting the item image and the initial position coordinates into a pre-trained attention module to output an item feature of the to-be-identified item; inputting the item feature into a pre-trained long short-term memory network to output a predicted category and predicted position coordinates of the to-be-identified item; determining whether a preset condition is satisfied; and determining, in response to the preset condition being satisfied, a predicted category of the to-be-identified item outputted by the long short-term memory network a last time for use as a final category of the to-be-identified item.

Abstract: There are provided an endoscopic image processing device, an endoscopic image processing method, an endoscopic image processing program, and an endoscope system that appropriately notify region-of-interest information about a region of interest included in an endoscopic image according to an endoscope operator's action. An endoscope operator's action on a portion to be observed of an endoscopic image is recognized from endoscopic images, and first emphasis display where region-of-interest information is displayed in the endoscopic image at a first emphasis level and second emphasis display where the region-of-interest information is displayed at a second emphasis level relatively lower than the first emphasis level are switched according to a recognition result.

Abstract: Devices and techniques for performing copy-back operations in a memory device are disclosed herein. A trigger to perform a copy-back operation in relation to a section of data stored on the memory device can be detected. Circuitry of the memory device can then read the section of data at two voltage levels within a read window to obtain a first set of bits and a second set of bits respectively. The first and second sets of bits—which should be the same under normal circumstances—are compared to determine whether a difference between the sets of bits is beyond a threshold. If the difference is beyond a threshold, error correction is invoked prior to completion of the copy-back operation.

Abstract: Methods and architectures for refreshing memory elements in a memory array may initialize a reference array that stores each of the possible values stored in the memory element. The values in the memory array and the reference array will drift in parallel over time. To perform a refresh, the drifted values may be read from the reference array and mapped to the original values that were stored when the reference array was initialized. Next, each value may be read from the memory array and matched with a corresponding value from the reference array. The known original value stored in the reference array can then be used to refresh the corresponding memory element in the memory array.

Abstract: A system includes an electrical tomography system and a volume estimation system. The volume estimation system is configured to reconstruct an initial impedance image based at least partially on received electrical tomography data of a domain, receive prior information associated with the domain, enhance the initial impedance image based at least partially on the received prior information to generate an enhanced impedance image, and based at least partially on the enhanced initial impedance image, generate a volumetric image of a region of interest of the enhanced impedance image, wherein the volumetric image represents a plurality of values indicating a volume of a fluid.

Abstract: A decoder in an integrated circuit memory device having: a positive section having a first input line; a negative section having a second input line; and an output line connected from both the positive section and the negative section to a voltage driver connected to a memory cell. The positive section and the negative section are controlled by a polarity control signal. When the polarity control signal indicates positive polarity, the positive section drives the output line according to signals received in the first input line; and when the polarity control signal indicates negative polarity, the negative section drives the output line according to signals received in the second input line.

Abstract: An object association method, apparatus and system, and a storage medium are provided. The method includes: obtaining a first image and a second image; and determining an association relationship between objects in the first image and objects in the second image based on surrounding information of the objects in the first image and surrounding information of the objects in the second image, where the surrounding information of one object is determined according to pixels within a set range around a bounding box of the object in the image where the object is located.

Abstract: A citrus identification method comprises: performing first-time image acquisition processing on a target citrus tree to obtain a first image; inputting the first image into a first citrus fruit identification model to be processed to obtain a first identification result sequence; performing area interception processing on the first image to obtain a citrus fruit area; obtaining roundness integrity numerical values; selecting an appointed roundness integrity numerical value, and acquiring a defect position of an appointed citrus fruit in the first image; determining a first spatial range and a second spatial range; performing both first spray injection treatment and second spray injection treatment; performing second-time image acquisition processing to obtain a second image; inputting the second image into a second citrus fruit identification model to be processed to obtain a second identification result; and generating a citrus fruit identification result.

Abstract: This application relates to computing circuitry (200), in particular for analogue computing circuitry suitable for neuromorphic computing. The circuitry (200) has a plurality of memory cells (201), each memory cell having an input electrode (201) for receiving a cell input signal and an output (203P, 203N) for outputting a cell output signal (IP, IN), with first and second paths connecting the input electrode to the output. The cell output signal thus depends on a differential current between the first and second paths due to the cell input signal. Each memory cell also comprises at least one programmable-resistance memory element (204) in each of the first and second paths and is controllable, by selective programming of the programmable-resistance memory elements, to store a data digit that can take any of at least three different values.

Abstract: An image processing apparatus includes an acquisition unit configured to acquire image data, a calculation unit configured to calculate, for each unit region of the image data, a confidence that the unit region is an extraction subject, the confidence as the extraction subject being calculated for each unit region of the image data by inputting the image data into a trained model of a neural network that has been trained using images of an existing extraction subject or a region of interest as training data, a modification unit configured to modify a reference value of the confidence, which is used to extract a region of interest, an extraction unit configured to extract the region of interest on the basis of the calculated confidence of each unit region and the modified reference value, and a display unit configured to display the extracted region of interest.

Abstract: A display control apparatus that performs rendering on volume data generated based on a signal obtained by receiving a photoacoustic wave generated by an object irradiated with light includes a first unit configured to obtain positional information of a surface of the object, a second unit configured to set a region inside the object between a surface located at a first distance from the surface of the object and a surface located at a second distance from the surface of the object as a display region on the basis of the positional information of the surface of the object, and a third unit configured to perform the rendering on the volume data in a manner that the display region and a region except for the display region can be discriminated from each other.

Abstract: The present disclosure provides a system and method for medical imaging. The method may include obtaining a preliminary image and scanning data of a subject acquired using a scanner. The method may also include determining a regularization parameter for a regularization item of an objective function based at least in part on the scanning data, wherein the regularization parameter includes at least two of a first component characterizing quality of the scanning data, a second component characterizing the scanner, or a third component characterizing a feature of the subject. The method may further include generating an image of the subject by reconstructing the preliminary image based on the objective function.

Abstract: A method is provided for image-processing an image dataset acquired from a patient by a medical imaging apparatus, (e.g., an X-ray apparatus), wherein the image dataset includes image values associated with image points, and depicts an acquisition region of the patient containing at least one object, (e.g., a medical device), to be enhanced, which is represented by image values within an image-value interval. The method includes determining a non-linearly high-pass filtered enhancement dataset, which is confined to an image portion containing image values lying in the image-value interval. The method also includes determining a result dataset by adding to the image dataset the enhancement dataset weighted by a weighting value. The method further includes outputting the result dataset.

Abstract: A route selection assistance system enabling easy selection of a route of a living body lumen for delivering a medical instrument to a site within a living body via the living body lumen, a recording medium on which a route selection assistance program is recorded, and a route selection assistance method are disclosed. The route selection assistance system includes: a receiving section configured to receive an input of site information specifying a target site; an image obtaining section configured to obtain image information on a living body of a target patient; a route extracting section configured to extract a plurality of routes of a living body lumen; a ranking assigning section configured to assign rankings to the plurality of routes according to ease of delivery of the medical instrument and patient scores determined according to magnitude of a burden imposed on the target patient.