SYSTEM, METHOD AND APPARATUS FOR ASSISTING A DETERMINATION OF MEDICAL IMAGES

    公开(公告)号:US20210192263A1

    公开(公告)日:2021-06-24

    申请号:US16755171

    申请日:2018-10-15

    申请人: Optellum Limited

    摘要: A quantification system (300) is described that includes: at least one input (310) configured to provide at least one input medical image and provide a location of interest in the at least one input medical image; and a mapping circuit (325). The mapping circuit (325) is configured to: compute a direct quantification result from the location of interest of the at least one input medical image to a quantification of interest and output a direct first quantification result therefrom; generate a saliency map as part of the computation of the direct quantification result; and derive a segmentation from the saliency map, such that the segmentation independently generates a second quantification result that is within a result range of the direct first quantification result.

    METHOD AND SYSTEM FOR THE ANALYSIS OF MEDICAL IMAGES

    公开(公告)号:US20230125090A1

    公开(公告)日:2023-04-27

    申请号:US17507671

    申请日:2021-10-21

    申请人: Optellum Limited

    发明人: Elnaz GEDERI

    摘要: A CADx system for analysing medical images for determining if the images are acceptable for analysis, by identifying the respiratory state of the lungs as shown in an image is described. The system comprising: an input circuit for receiving at least one image; a respiratory state assessor circuit for determining the respiratory state of the lungs in the input image where the respiratory state assessor is trained with a plurality of training images showing a range of different respiratory states, and an output circuit to produce an output confirming the respiratory state of the input image. A method of analysing images, and a method of training a machine learning model to recognize different respiratory states are also described.

    CADx DEVICE AND A METHOD OF CALIBRATION OF THE DEVICE

    公开(公告)号:US20230268072A1

    公开(公告)日:2023-08-24

    申请号:US17677970

    申请日:2022-02-22

    申请人: Optellum Limited

    摘要: A CADx system and method for analysing a medical image from a local population for a disease risk score and determining if the system is calibrated is described. The CADx system comprising :an input circuit for receiving at least one medical image and producing CADx derived data based on the received image; a machine learning model for determining a disease risk score for the medical image; a calibration auditor circuit for determining a calibration state of the CADx system by: receiving the CADx derived data and comparing the CADx derived data to training derived data, where the training derived data comprises one of more of: training data for the machine learning model for determining the disease risk score, and data on population factors associated with the training data; and an output circuit for outputting a disease risk score for the medical image and an indication of the calibration state.

    METHOD AND APPARATUS FOR DERIVING A SET OF TRAINING DATA

    公开(公告)号:US20200279649A1

    公开(公告)日:2020-09-03

    申请号:US16645888

    申请日:2018-09-24

    摘要: A Computer Aided Diagnosis, CAD, training system (400) is described for training a CAD device (310) to receive and process at least one input medical image and produce an output that indicates a probability of a medical condition of a patient. The CAD device (310) comprises: an input circuit (305) configured to receive and assemble training data that comprises: medical data of patients that have been identified as having at least one medical condition, and medical data of patients that have been identified as not having the at least one medical condition. A parsing circuit (315) is configured to: separate the assembled training data into data sets, such that a first data set contains only the medical data of patients that have the at least one medical condition and a second data set contains only the medical data of patients that do not have the condition; and parse at least one of the data sets into at least two subsets (328), whereby a first subset is distinguished over a second subset of the at least two subsets (328) by at least one attribute. A data classifier circuit (330) is configured to associate different weights to the separated assembled training data, such that the first subset is prioritised during training of the CAD device.