Patents Examined by Samah Beg
  • Patent number: 10515448
    Abstract: The present disclosure relates to techniques for predicting a genetically based trait using handprints. In one embodiment, a method generally includes receiving a digital image of a person's handprint. A computing device extracts features from the digital image using at least one feature-extraction technique and inputs the features into a machine-learning model trained to predict at least one genetically based trait when such features are received as input. The machine-learning model predicts whether the user has one or more genetically based traits based on the values of the features. The computing device then sends the prediction to an application that presents the prediction to the user.
    Type: Grant
    Filed: September 20, 2016
    Date of Patent: December 24, 2019
    Assignee: International Business Machines Corporation
    Inventor: Stephanie A. Fetzer
  • Patent number: 10489904
    Abstract: The subject disclosure presents systems and computer-implemented methods for assessing a risk of cancer recurrence in a patient based on a holistic integration of large amounts of prognostic information for said patient into a single comparative prognostic dataset. A risk classification system may be trained using the large amounts of information from a cohort of training slides from several patients, along with survival data for said patients. For example, a machine-learning-based binary classifier in the risk classification system may be trained using a set of granular image features computed from a plurality of slides corresponding to several cancer patients whose survival information is known and input into the system. The trained classifier may be used to classify image features from one or more test patients into a low-risk or high-risk group.
    Type: Grant
    Filed: December 9, 2016
    Date of Patent: November 26, 2019
    Assignees: Ventana Medical Systems, Inc., The Board of Trustees of the Leland Stanford Junior University
    Inventors: Michael Barnes, Srinivas Chukka, David Knowles
  • Patent number: 10475538
    Abstract: A system and method includes operation of a generation network to generate first generated computed tomography data based on a first instance of surface data, determination of a generation loss based on the first generated computed tomography data and on a first instance of computed tomography data which corresponds to the first instance of surface data, operation of a discriminator network to discriminate between the first generated computed tomography data and the first instance of computed tomography data, determination of a discriminator loss based on the discrimination between the first generated computed tomography data and the first instance of computed tomography data, determination of discriminator gradients of the discriminator network based on the discriminator loss, and updating of weights of the generation network based on the generation loss and the discriminator gradients.
    Type: Grant
    Filed: January 11, 2018
    Date of Patent: November 12, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Yifan Wu, Vivek Kumar Singh, Kai Ma, Terrence Chen, Birgi Tamersoy, Jiangping Wang, Andreas Krauss
  • Patent number: 10465362
    Abstract: A human detection system may detect the presence of a human around a shovel by using an image captured by an imaging device attached to the shovel. Also, the human detection system may have an extracting part that extracts a part of the captured image as an identification process target image, and an identifying part that identifies whether an image included in the identification process target image is an image of a human. A region of the identification process target image is preliminarily associated with one of head image positions in the captured image. The extracting part finds out a helmet image in the captured image, and extracts the identification process target image by associating a representative position of the helmet image with one of the head image positions.
    Type: Grant
    Filed: November 29, 2016
    Date of Patent: November 5, 2019
    Assignee: SUMITOMO HEAVY INDUSTRIES, LTD.
    Inventors: Yoshihisa Kiyota, Susumu Aizawa
  • Patent number: 10467751
    Abstract: A method of improving diagnostic and functional imaging is provided by obtaining at least two input images of a subject, using a medical imager, where each input image includes a different contrast, generating a plurality of copies of the input images using non-local mean (NLM) filtering, using an appropriately programmed computer, where each input image copy of the subject includes different spatial characteristics, obtaining at least one reference image of the subject, using the medical imager, where the reference image includes imaging characteristics that are different form the input images of the subject, training a deep network model, using data augmentation on the appropriately programmed computer, to adaptively tune model parameters to approximate the reference image from an initial set of the input and reference images, with the goal of outputting an improved quality image of other sets of low SNR low resolution images, for analysis by a physician.
    Type: Grant
    Filed: October 4, 2018
    Date of Patent: November 5, 2019
    Assignee: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Greg Zaharchuk, Enhao Gong, John M. Pauly
  • Patent number: 10467786
    Abstract: Systems and methods of stent enhancement in medical images includes obtaining a plurality of medical images of a vessel and a stent. A centerline of the vessel is obtained in medical images of the plurality of medical images. A deformation field across the medical images of the plurality of medical images is estimated based at least in part upon the obtained centerlines. The medical images of the plurality of medical images are registered to a common reference image. The images are temporally integrated to obtain an enhanced visual representation of the stent.
    Type: Grant
    Filed: February 28, 2017
    Date of Patent: November 5, 2019
    Assignee: General Electric Company
    Inventors: Liliane Ramus, Regis Vaillant
  • Patent number: 10441813
    Abstract: Embodiments generally relate to cancer treatment with radiation sources. The present technology discloses techniques that can enable an automatic generation of radiotherapy trajectories using anatomical data of a patient. It can improve conformal dose distributions and target volume coverage by considering a radiation risk decided by an organs-at-risk (OAR)'s relative location to the target volume and the radiation source.
    Type: Grant
    Filed: July 16, 2015
    Date of Patent: October 15, 2019
    Assignee: DALHOUSIE UNIVERSITY
    Inventors: R. Lee MacDonald, Christopher G. Thomas, James Leonard Robar
  • Patent number: 10438347
    Abstract: A system is disclosed using a data-driven approach to objectively measure the diagnostic accuracy and value of diagnostic imaging reports using data captured routinely as part of the electronic health record. The system further utilizes the evaluation of the diagnostic accuracy of individual radiologists (imagers), subspecialty sections, modalities, and entire departments based on a comparison against a “precision diagnosis” rendered by other clinical data sources such as pathology, surgery, laboratory tests, etc.
    Type: Grant
    Filed: September 1, 2016
    Date of Patent: October 8, 2019
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Dieter Enzmann, William Hsu, Corey W. Arnold, Alex A. T. Bui
  • Patent number: 10438368
    Abstract: A medical image processing apparatus includes a port, a processor and a display. The port acquires volume data including a subject. The processor calculates long and short diameters of the subject. The display shows the long and short diameters. A line segment presenting the long diameter and a line segment presenting the short diameter is a pair of skew lines.
    Type: Grant
    Filed: March 28, 2017
    Date of Patent: October 8, 2019
    Assignee: ZIOSOFT, INC.
    Inventor: Takahiro Suzuki
  • Patent number: 10438072
    Abstract: Transient connected regions are tracked in a video sequence, marking them as foreground layer or background layer when the transient regions become stable. A stack of background/foreground Gaussian mixer models is maintained for each pixel. The decision to mark a stable region as background layer or a new or existing foreground layer is done by matching the region with each model in the model stack. If the new region matches an existing model, then the layers above the matched layers are purged, or else the new region is pushed as a new foreground layer with a new model.
    Type: Grant
    Filed: February 27, 2017
    Date of Patent: October 8, 2019
    Assignee: Echelon Corporation
    Inventor: Shalender Singh
  • Patent number: 10417525
    Abstract: A client device configured with a neural network includes a processor, a memory, a user interface, a communications interface, a power supply and an input device, wherein the memory includes a trained neural network received from a server system that has trained and configured the neural network for the client device. A server system and a method of training a neural network are disclosed.
    Type: Grant
    Filed: March 19, 2015
    Date of Patent: September 17, 2019
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Zhengping Ji, Ilia Ovsiannikov, Yibing Michelle Wang, Lilong Shi
  • Patent number: 10416433
    Abstract: There is provided a cell image acquisition device, method, and a non-transitory computer readable recording medium recorded with a program to reduce the amount of data to be processed and stored by limiting a target region in a colony region when imaging a cell colony. There are included: a maturity information acquisition unit 22 that acquires information regarding the maturity of cells being cultured; a colony region specifying unit 21 that acquires a cell image by imaging the cells at a first magnification and specifies a colony region of the cells in the cell image; a target region determination unit 23 that determines a target region in the colony region of the cells based on the information regarding the maturity; and a high magnification image acquisition unit 24 that acquires a high magnification image by imaging the target region at a second magnification that is higher than the first magnification.
    Type: Grant
    Filed: August 30, 2016
    Date of Patent: September 17, 2019
    Assignee: FUJIFILM Corporation
    Inventor: Tsuyoshi Matsumoto
  • Patent number: 10410383
    Abstract: The present disclosure relates to systems and methods for reconstructing a PET image. The systems may execute the methods to acquire PET data of a subject. The PET data may include position information of a plurality of coincident events. The plurality of coincident events may include scattering events and random events. The systems may execute the methods to select a portion of the PET data from the PET data based on the position information. The systems may execute the methods to reconstruct a first preliminary image of the subject based on the selected portion of the PET data, and project the first preliminary image. The systems may execute the methods to may determine, based on the PET data and the projection of the first preliminary image, preliminary correction data relating to the scattering events and the random events.
    Type: Grant
    Filed: August 26, 2017
    Date of Patent: September 10, 2019
    Assignee: UIH AMERICA, INC.
    Inventors: Wentao Zhu, Hongdi Li
  • Patent number: 10410333
    Abstract: A product monitoring device is provided that presents, to the user, information by which the user can recognize specific work items of a product management work for improving an inappropriate display state. The product monitoring device acquires a captured image of a display area, sets a state monitoring area on the captured image of the display area, acquires product detection information indicating a position of a product in the state monitoring area, based on a captured image of the state monitoring area, evaluates a display state of the product in the state monitoring area, using a plurality of evaluation indices relating to display disorder of the product, based on the product detection information, and presents information on an evaluation result to a user.
    Type: Grant
    Filed: March 3, 2016
    Date of Patent: September 10, 2019
    Assignee: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.
    Inventors: Shinji Takenaka, Kenji Tokuda, Yuichiro Takemoto
  • Patent number: 10402969
    Abstract: Systems and methods are provided for a visualization of a multi-modal medical image for diagnostic medical imaging. The systems and methods receive first and second image data sets of an anatomical structure of interest, register the first and second image data sets to a geometrical model of the anatomical structure of interest to form a registered image. The geometrical model includes a location of an anatomical marker. The systems and methods further display the registered image.
    Type: Grant
    Filed: March 10, 2017
    Date of Patent: September 3, 2019
    Assignee: General Electric Company
    Inventors: Eigil Samset, Olivier Gerard, Stian Langeland
  • Patent number: 10388000
    Abstract: Among other things, one or more techniques and/or systems are described for processing images yielded from an examination via radiation to reduce visible noise in the images. After an image is reconstructed, a noise contribution to the image (e.g., an amount of noise in the image) is estimated to determine a target noise contribution for the image. The target noise contribution for the image may vary based upon, among other things, dose of radiation, aspects or properties of an object being imaged, etc. The image is subsequently filtered using one or more filtering techniques to generate a filtered image, and a noise contribution to the filtered image is determined. When the noise contribution to the filtered image satisfies the target noise contribution (e.g., a sufficient amount of noise has been filtered out of the image), the filtered image is combined with the reconstructed image to generate a blended image.
    Type: Grant
    Filed: September 15, 2014
    Date of Patent: August 20, 2019
    Assignee: Analogic Corporation
    Inventors: Basak Ulker Karbeyaz, Kevin Cheng, Charles Shaughnessy, David Rozas
  • Patent number: 10383602
    Abstract: A method of visualizing anatomical elements in a medical includes receiving a medical image; detecting a plurality of anatomical elements from the medical image; verifying a location of each of the plurality of anatomical elements based on anatomical context information including location relationships between the plurality of anatomical elements; adjusting the location relationships between the plurality of anatomical elements; and combining the verified and adjusted information of the plurality of anatomical elements with the medical image.
    Type: Grant
    Filed: March 17, 2015
    Date of Patent: August 20, 2019
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Baek Hwan Cho, Yeong Kyeong Seong, Ye Hoon Kim, Ha Young Kim, Joo Hyuk Jeon
  • Patent number: 10378517
    Abstract: In a wind turbine of the type including a tower and a nacelle with the rotor being rotatably connected to the nacelle for rotating about a rotor axis and having a plurality of equally spaced blades, there is provided a method of detecting damage to a rotor requiring replacement. The method includes positioning video cameras on each of the blades at a root of a respective one of the blades so as to provide a line of sight of the camera along the respective one of the blades to the tip to obtain a video image of the rotor and tip as they rotate. From the videos an analysis is carried out of the images of the tip at a common location spaced away from the tower to determine a position of the tip and hence the deflection of the tip which is indicative of damage.
    Type: Grant
    Filed: May 24, 2017
    Date of Patent: August 13, 2019
    Inventor: Steffen Bunge
  • Patent number: 10380434
    Abstract: The present invention describes a vehicle detection system and method for detecting one or more vehicles in a dynamic varying region of interest, ROI. The system comprises a scene recognition module (101), a road topology estimation module (102), and a vehicle detecting module (103). The scene recognition module is configured for receiving either high exposure image or low exposure image for identifying condition of one or more scenes in a dynamically varying region of interest. The road topology estimation module configured for receiving either high exposure image or low exposure image for determining at least one of a curve, slope and vanishing point of a road in the dynamically varying region of interest. The vehicle detecting module is coupled with the scene recognition module and road topology module for detecting one or more vehicles on the road at night time.
    Type: Grant
    Filed: January 16, 2015
    Date of Patent: August 13, 2019
    Assignee: KPIT TECHNOLOGIES LTD.
    Inventors: Snehal Gor, Darshan Kumar Beeruka
  • Patent number: 10380417
    Abstract: The present disclosure relates to a method and an apparatus for recognizing an iris. The electronic device may include a camera configured to photograph the iris and a processor configured to perform iris recognition by using the photographed iris image, wherein the processor is further configured to determine a part of the iris image for the iris recognition has failed and re-perform the iris recognition for the determined part of the iris image.
    Type: Grant
    Filed: September 11, 2015
    Date of Patent: August 13, 2019
    Assignee: Samsung Electronics Co., Ltd.
    Inventor: Han-Shin Kwak