Abstract: A method for automatic selection of display settings for a medical image is provided. The method includes receiving a medical image, mapping the medical image to an appearance classification cell of an appearance classification matrix using a trained deep neural network, selecting a first WW and a first WC for the medical image based on the appearance classification and a target appearance classification, adjusting the first WW and the first WC based on user preferences to produce a second WW and a second WC, and displaying the medical image with the second WW and the second WC via a display device.

Abstract: Various methods and systems are provided for x-ray imaging. In one embodiment, a method comprises acquiring an image of a subject, generating, based on the image and a plurality of parameters, a noise modulation map comprising an estimated amount of noise in each pixel of the image, selectively reducing noise in the image based on the noise modulation map to generate a final image, and displaying the final image. In this way, the radiation dose during imaging may be reduced while maintaining or even improving image quality.

Abstract: Disclosed are a porous aluminum macroscopic body, a fabrication system, and a method therefor, where the porous aluminum macroscopic body is a three-dimensional full-through-hole structure formed by connecting hollow aluminum wires, and the wall thickness of the hollow aluminum wires is 7-100 micrometers. The fabrication system comprises a magnetron sputtering subsystem, a high-temperature aluminum vapor subsystem, a low-temperature aluminum deposition subsystem, an aluminum vapor recovery subsystem, and a porous polymer film conveying subsystem. A preparation method therefor comprises first utilizing a magnetron sputtering method to rapidly sputter on a porous polymer film to form an aluminum layer that has a thickness of 1-500 nm, and then continuing to deposit the aluminum layer to a thickness of 7-100 micrometers while decomposing the polymer film in-situ so as to obtain the porous aluminum macroscopic body.

Abstract: The current disclosure provides systems and methods for intelligent selection of display settings, including window-width (WW) and window-center (WC), for medical images, using deep neural networks. The current disclosure may enable automatic selection of display settings for a medical image, based on a deep neural network's appearance classification of the medical image. In one embodiment, the current disclosure provides a method comprising, receiving a medical image, mapping the medical image to an appearance classification cell of an appearance classification matrix using a trained deep neural network, selecting a first WW and a first WC for the medical image based on the appearance classification and a target appearance classification, adjusting the first WW and the first WC based on user preferences to produce a second WW and a second WC, and displaying the medical image with the second WW and the second WC via a display device.

Abstract: Various methods and systems are provided for x-ray imaging. In one embodiment, a method comprises acquiring an image of a subject, generating, based on the image and a plurality of parameters, a noise modulation map comprising an estimated amount of noise in each pixel of the image, selectively reducing noise in the image based on the noise modulation map to generate a final image, and displaying the final image. In this way, the radiation dose during imaging may be reduced while maintaining or even improving image quality.

Abstract: The present invention relates to the field of logistics. Disclosed are delivery method and system of recyclable logistics apparatus. Each recyclable logistics apparatus is provided with a wireless tag, the wireless tag is configured to broadcast a wireless signal which contains an apparatus identification; a first wireless sensing network and a second wireless sensing network are pre-set in a first delivery region and a second delivery region, and are configured to receive wireless signals broadcasted by all wireless tags in a coverage area of the wireless sensing networks.

Abstract: Disclosed are a porous aluminum macroscopic body, a fabrication system, and a method therefor, where the porous aluminum macroscopic body is a three-dimensional full-through-hole structure formed by connecting hollow aluminum wires, and the wall thickness of the hollow aluminum wires is 7-100 micrometers. The fabrication system comprises a magnetron sputtering subsystem, a high-temperature aluminum vapor subsystem, a low-temperature aluminum deposition subsystem, an aluminum vapor recovery subsystem, and a porous polymer film conveying subsystem. A preparation method therefor comprises first utilizing a magnetron sputtering method to rapidly sputter on a porous polymer film to form an aluminum layer that has a thickness of 1-500 nm, and then continuing to deposit the aluminum layer to a thickness of 7-100 micrometers while decomposing the polymer film in-situ so as to obtain the porous aluminum macroscopic body.

Abstract: The present invention relates to the field of logistics. Disclosed are delivery method and system of recyclable logistics apparatus. Each recyclable logistics apparatus is provided with a wireless tag, the wireless tag is configured to broadcast a wireless signal which contains an apparatus identification; a first wireless sensing network and a second wireless sensing network are pre-set in a first delivery region and a second delivery region, and are configured to receive wireless signals broadcasted by all wireless tags in a coverage area of the wireless sensing networks.

Abstract: An X-ray imaging system includes a digital X-ray detector configured to acquire X-ray image data without communication from a source controller and to send the X-ray image data to a portable detector control device for processing and image preview. The source controller is configured to command X-ray emissions of X-rays from an X-ray radiation source for image exposures.

Abstract: A method for performing bilingual word alignment on source and target text in bilingual documents includes computing probability gains of adding a link (i.e. the corresponding relation) between any pair of source and target words in the source and target text; applying a greedy algorithm to iteratively search for a plurality of word alignments that satisfy an inversion transduction grammar constraint; and outputting the best word alignment among the plurality.

Abstract: An X-ray imaging system is provided. The X-ray imaging system includes an X-ray radiation source. The X-ray imaging system also includes a source controller coupled to the source and configured to command emission of X-rays for image exposures. The X-ray imaging system further includes a digital X-ray detector configured to acquire X-ray image data without communication from the source controller, wherein the digital X-ray detector includes a photovoltaic device, and the digital X-ray detector is configured to determine one or more of a beginning, end, or duration of an image exposure via the photovoltaic device.

Abstract: The invention discloses a method and apparatus for performing bilingual word alignment, relating to the field of text information formation processing. The method comprises the following steps: preprocessing the source and the translated (target) text of the bilingual documents to be aligned; computing the probability of the link (i.e. the corresponding relation) between each and every source and target word; setting the initial word alignment as an empty alignment; iteratively applying a greedy algorithm to search for word alignments that are permitted by the inversion transduction grammar constraint; outputting the best word alignment among the alignments that satisfy the inversion transduction grammar constraint as the final alignment result. The apparatus comprises: a preprocessing module, a probability computation module, an initial word alignment generation module, a word alignment search module, an alignment result output module.

Abstract: A method for processing X-ray image data includes exposing a digital detector to X-ray radiation. The method also includes sampling data via the digital detector including X-ray image data and offset image data. The method further includes calculating an average offset image without prior knowledge of a total number of offset image frames sampled.

Abstract: In one embodiment a method to create a system to manage documents with sensitive or classified content comprises extracting a list of text features enabling interaction with the user developing the system to create a rule-based classifier based on the list of text features and one or more synonymous features, applying the rule-based classifier to one or more selected documents to tag a set of documents with the sensitive or classified information they contain, training a statistical text classifier using the tagged documents generated as a training set, applying the trained statistical text classifier to the training set, and reapplying the refined rule-based classifier to the one or more documents to tag a set of documents with the sensitive or classified information they contain. Other embodiments may be described.

Abstract: A method for controlling a X-ray radiography system includes acquiring data from a digital X-ray detector, characterizing electromagnetic interference based upon the acquired data, selecting an electromagnetic interference compensation algorithm based upon the characterized electromagnetic interference, acquiring X-ray imaging data via the digital X-ray detector based upon the selected electromagnetic interference compensation algorithm, and processing the X-ray imaging data to produce image data capable of reconstruction in a user viewable form.

Abstract: An X-ray imaging system is provided. The X-ray imaging system includes an X-ray radiation source. The X-ray imaging system also includes a source controller coupled to the source and configured to command emission of X-rays for image exposures. The X-ray imaging system further includes a digital X-ray detector configured to acquire X-ray image data without communication from the source controller, wherein the digital X-ray detector includes a photovoltaic device, and the digital X-ray detector is configured to determine one or more of a beginning, end, or duration of an image exposure via the photovoltaic device.

Abstract: In one embodiment, a digital X-ray detector is provided with a plurality of pixel regions. Each pixel region includes a first photodiode having a first area and a second photodiode having a second area equal to or smaller than the first area. The digital X-ray detector also includes a shielding structure that overlies the first and second photodiodes of each pixel region with the shielding structure shielding proportionally less of the first photodiode than of the second photodiode to provide the first photodiode with a first sensitivity and the second photodiode with a second sensitivity lower than the first sensitivity.

Abstract: An X-ray imaging method includes in a digital X-ray detector including an array of discrete picture elements each including a photodiode and a transistor, applying a first voltage to the transistors of the discrete picture elements. The method also includes preparing for acquisition of X-ray image data by sampling data from the discrete picture elements while applying a second voltage to the transistors of the discrete picture elements not then being sampled, the second voltage being more negative than the first voltage. The method further includes receiving X-ray radiation on the detector from a source. The method yet further includes sampling X-ray image data from the discrete picture elements while applying the second voltage to the transistors of the discrete picture elements not then being sampled.

Abstract: A method, apparatus and computer program product are provided for constructing a diagnostic network model in a more efficient and timely manner and with improved consistency. A structured electronic representation of a document is automatically reviewed to identify the symptoms experienced by the complex system, the plurality of components of the complex system and the causal relationships between a failure of the respective components and the occurrence of the various symptoms. Respective probabilities can be associated with the causal relationships between the symptoms and the failure of the various components. A network model, such as a Bayesian network model, may then be automatically constructed to represent the symptoms, the components, the causal relationships between failure of the components and exhibition of the symptoms, and the probabilities of the respective causal relationships.