公开(公告)号：US20240046629A1

公开(公告)日：2024-02-08

申请号：US17766365

申请日：2019-10-08

Applicant: RENSSELAER POLYTECHNIC INSTITUTE

Inventor： Seung Wook Lee ,  Seho Lee ,  Ge Wang

IPC: G06V10/82 ,  G06V10/75 ,  G02B6/293

CPC classification number: G06V10/82 ,  G06V10/751 ,  G02B6/29353 ,  G06V2201/03

Abstract: The present disclosure relates to an apparatus for enhancing contrast sensitivity and resolution in a grating interferometer by machine learning, which can improve both image contrast sensitivity and spatial resolution in a grating interferometer by machine learning, the apparatus including: an image acquisition unit; a numerical phantom generation unit, a convolution layer generation unit to extract features from input data; an activation function application calculation unit that can apply a rectified linear activation function to an output value of the convolution calculation to perform smooth repetitive machine learning; a CNN repetitive machine learning unit that corrects a convolution calculation factor while repeatedly performing forward propagation and backward propagation processes; and an image matching output unit that matches and outputs features extracted by repetitive machine learning of the CNN repetitive machine learning unit.

公开(公告)号：US20240038363A1

公开(公告)日：2024-02-01

申请号：US17877155

申请日：2022-07-29

Applicant: Hyland Software, Inc.

Inventor： Carlos Leitao ,  Razvan Atanasiu

IPC: G16H30/20 ,  G06V30/148

CPC classification number: G16H30/20 ,  G06V30/153 ,  G06V2201/03

Abstract: Techniques, described herein, enable enhanced de-identification solutions for digital imaging and communications in medicine (DICOM) systems and records. DICOM header tags may be de-identified (e.g., anonymized) using one or more hashing algorithms and salt values. Solutions for evaluating and resolving collisions between de-identified. DICOM records may be de-identified in large batches or in smaller batches on a per-request basis. Additional features of the techniques are described herein.

公开(公告)号：US20240033411A1

公开(公告)日：2024-02-01

申请号：US17814539

申请日：2022-07-25

Applicant: William M. Gosney ,  Dale B. Nixon

Inventor： William M. Gosney ,  Dale B. Nixon

IPC: A61M1/36 ,  G06V20/69 ,  G06V10/147 ,  G06V10/145

CPC classification number: A61M1/36224 ,  A61M1/3678 ,  G06V20/698 ,  G06V20/693 ,  G06V10/147 ,  G06V10/145 ,  A61M2205/3313 ,  A61M2205/52 ,  G06V2201/03

Abstract: An operational unit for locating and neutralizing pathogen cells in blood includes a time use cassette which has a plurality of thin holding chambers that are filled with blood drawn from a patient. A light source illuminates each of the holding chambers and passes light to an underlying sensor array such that the cells in the blood selectively block the light to produce shadow images of the cells in the sensor array. A processor performs pattern recognition to identify and locate the pathogen cells by use of an image library. After the pathogen cells are located, an electric field is activated in the cassette chamber areas that include the identified pathogen cells. Sufficient electric field energy is applied to destroy the identified pathogen cells. A pump refills the cassette holding chambers, returns the neutralized-pathogen blood to the patient, and the process is repeated for a period of time.

公开(公告)号：US20240020825A1

公开(公告)日：2024-01-18

申请号：US17862553

申请日：2022-07-12

Applicant: Imvaria Inc.

Inventor： Joshua REICHER ,  Michael MUELLY

IPC: G06T7/00 ,  G16H30/40 ,  G16H70/60 ,  G06F40/205 ,  G06F40/258 ,  G06T11/00 ,  G06V30/19

CPC classification number: G06T7/0012 ,  G16H30/40 ,  G16H70/60 ,  G06F40/205 ,  G06F40/258 ,  G06T11/008 ,  G06V30/19 ,  G06T2207/10081 ,  G06T2207/30061 ,  G06V2201/03

Abstract: A method of automated diagnosis of disease database entities includes receiving a case processing request via an input application programming interface (API), extracting image data from the case processing request including at least one medical scan image of the patient, selecting at least a portion of the medical scan image(s) according to specified selection criteria, normalizing the selected at least a portion of the medical scan image(s), supplying the selected at least a portion of the medical scan image(s) to a machine learning model to generate a target medical condition prediction output, wherein the target medical condition prediction output is indicative of a likelihood that a patient will experience a future disease diagnosis event corresponding to the target medical condition, and automatically transmitting the target medical condition prediction output as an electronic transmission via an output API to a provider system associated with the patient.

公开(公告)号：US20240013514A1

公开(公告)日：2024-01-11

申请号：US18474476

申请日：2023-09-26

Applicant: Terumo Kabushiki Kaisha

Inventor： Yasukazu SAKAMOTO ,  Katsuhiko SHIMIZU ,  Hiroyuki ISHIHARA ,  Shunsuke YOSHIZAWA

IPC: G06V10/764 ,  G06V10/26 ,  A61B8/00 ,  A61B8/12

CPC classification number: G06V10/764 ,  G06V10/267 ,  A61B8/4494 ,  A61B8/12 ,  G06V2201/03

Abstract: An information processing device that includes a classification image data acquisition unit configured to acquire a plurality of classification image data classified into a plurality of regions including a first intraluminal region into which the image acquisition catheter for a three-dimensional scan is inserted and a second intraluminal region into which the image acquisition catheter is not inserted; a merging determination unit configured to determine whether the second intraluminal region in a first catheter image merges with the first intraluminal region in a second catheter image acquired at a different axial position; and an image output unit configured to output a region image including the first intraluminal region based on the plurality of classification image data, and outputs, only the second intraluminal region that is determined to merge by the merging determination unit, together with the first intraluminal region as the region image.

公开(公告)号：US11869185B2

公开(公告)日：2024-01-09

申请号：US17804123

申请日：2022-05-26

Applicant: PAIGE.AI, Inc.

Inventor： Rodrigo Ceballos Lentini ,  Christopher Kanan ,  Patricia Raciti ,  Leo Grady ,  Thomas Fuchs

IPC: G06T7/00 ,  G16H50/20 ,  G16H30/40 ,  G06F18/214

CPC classification number: G06T7/0012 ,  G06F18/214 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10056 ,  G06T2207/20081 ,  G06T2207/30024 ,  G06T2207/30096 ,  G06V2201/03

Abstract: Systems and methods are disclosed for processing an electronic image corresponding to a specimen. One method for processing the electronic image includes: receiving a target electronic image of a slide corresponding to a target specimen, the target specimen including a tissue sample from a patient, applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images including images of human tissue and/or images that are algorithmically generated; and based on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared.

公开(公告)号：US20240005643A1

公开(公告)日：2024-01-04

申请号：US18255170

申请日：2021-10-14

Applicant: SONY GROUP CORPORATION

Inventor： KENJI SUZUKI

IPC: G06V10/774 ,  G06V20/56 ,  A61B34/32

CPC classification number: G06V10/774 ,  G06V20/56 ,  A61B34/32 ,  G06V2201/03 ,  G06V10/82

Abstract: Provided is an information processing apparatus for artificially increasing data of a minority attribute to generate learning data for making fair determination on each piece of input data.
An information processing apparatus includes: a data holding unit configured to hold first learning data to be used for learning a machine learning model; an acquisition unit configured to acquire information regarding bias of the learning data; a data generation unit configured to generate second learning data by using data included in the learning data on the basis of the information regarding bias; and a learning unit configured to learn the machine learning model by using the first learning data and the second learning data.

公开(公告)号：US20230421892A1

公开(公告)日：2023-12-28

申请号：US18209096

申请日：2023-06-13

Applicant: Siemens Healthcare GmbH

Inventor： Marcus Pfister ,  Philipp Roser

IPC: H04N23/60 ,  H04N7/18 ,  G06T17/00 ,  H04N23/695 ,  G06V20/52 ,  H04N23/61

CPC classification number: H04N23/64 ,  H04N7/181 ,  G06T17/00 ,  H04N23/695 ,  G06V20/52 ,  H04N23/61 ,  G06V2201/03

Abstract: A monitoring system for monitoring at least one target object in a medical environment. The monitoring system includes a camera unit and a processing unit, wherein the camera unit comprises a suspension facility and a cable-suspended camera, wherein, the suspension facility comprises at least one cable and at least two cable mountings, wherein the cable mountings hold the at least one cable at a respective point in the room, wherein the suspension facility moreover comprises a camera mounting which holds the cable-suspended camera on the at least one cable, wherein the cable-suspended camera has a field of view and is configured so as to capture the field of view, wherein the cable-suspended camera may be re-positioned by moving the at least one cable with regard to the cable mountings and/or by moving the cable-suspended camera with regard to the at least one cable, wherein the processing unit is configured so as to control the cable-suspended camera in such a manner that in a first operational state of the monitoring system: the at least one target object is arranged in the field of view and the cable-suspended camera captures first image data having a map of the at least one target object.

公开(公告)号：US20230419602A1

公开(公告)日：2023-12-28

申请号：US18034901

申请日：2021-11-01

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Karthik Krishnan ,  Celine Firtion ,  Pallavi Vajinepalli ,  Saunak Chatterjee ,  Giridhar Narasapura Rajagopalaiah ,  Matthew Rielly

IPC: G06T17/00 ,  G06T7/00 ,  G06T7/20 ,  G06T7/30 ,  G06V10/25

CPC classification number: G06T17/00 ,  G06T7/0012 ,  G06T7/20 ,  G06T7/30 ,  G06V10/25 ,  G06V2201/07 ,  G06V2201/03 ,  G06T2207/30048

Abstract: There is proposed a mechanism for generating and displaying a 3D representation of an anatomical structure of an individual. Image data of the anatomical structure is obtained and processed to obtain 2D images or image sequences corresponding to predetermined views of the anatomical structure. Anatomical landmarks are identified in the 2D images or image sequences and used to determine a 3D landmark model of the anatomical 5structure. The 3D landmark model is used to render and display a 3D representation of the anatomical structure.

公开(公告)号：US20230419591A1

公开(公告)日：2023-12-28

申请号：US17809403

申请日：2022-06-28

Applicant: Wisconsin Alumni Research Foundation

Inventor： Zaid Aljuboori ,  Alan McMillan

IPC: G06T15/08 ,  G16H20/40 ,  G16H30/40 ,  G06V10/774 ,  G06T15/10 ,  A61B34/10

CPC classification number: G06T15/08 ,  G16H20/40 ,  G16H30/40 ,  G06V10/774 ,  A61B2034/105 ,  A61B34/10 ,  G06V2201/03 ,  G06T2210/41 ,  A61B2034/107 ,  G06T15/10

Abstract: A surgical planning tool evaluates a volumetric image of the skull to identify landmarks and define surgical corridors that can be compared and visualized for access to the skull for removal of tumors and the like.