公开(公告)号：WO2023084258A1

公开(公告)日：2023-05-19

申请号：PCT/GR2021/000069

申请日：2021-11-10

申请人： DIGITAL SURGERY LIMITED ,  GIATAGANAS, Petros

发明人： STOYANOV, Danail ,  LUENGO, Imanol ,  GRAS, Gauthier

IPC分类号： H04N21/433 ,  H04N21/44 ,  G16H30/00

摘要： Data captured during a surgical procedure can include multiple video streams, such as from an endoscopic camera, an external camera, etc., along with data from one or more instruments used during the surgical procedure. Transferring the surgical data over communication networks, and storing the surgical data, is therefore resource-intensive, and a technical challenge. Technical solutions are described to optimize the surgical data by intelligent compression methods that can adaptively reduce the size of certain procedural workflows. In some aspects, the compression reduces the storage/transmission resources required for a video catalogue by reducing redundancy from across the several videos stored in the video catalogue. The compression also enables faster querying and searching through a catalogue or collection of archived data.

公开(公告)号：WO2023059166A1

公开(公告)日：2023-04-13

申请号：PCT/KR2022/015231

申请日：2022-10-10

申请人： 주식회사 메디트

发明人： 구민교

IPC分类号： A61C13/00 ,  A61C9/00 ,  A61C13/08 ,  A61C5/77 ,  G16H50/50 ,  G16H30/00 ,  G06T19/20 ,  A61B34/10 ,  A61B18/20

摘要： 실시예들에 따라 구강 이미지 처리 방법 및 장치가 개시된다. 개시된 구강 이미지 처리 방법은, 프렙된 치아 데이터에 인접한 인접치 데이터 및 상기 프렙된 치아 데이터의 수복을 위한 수복물 데이터를 표시하는 동작, 상기 수복물 데이터와 인접치 데이터 사이의 어댑테이션을 조정하는 입력을 수신하는 동작, 상기 수신된 입력에 대응하여 상기 수복물 데이터와 상기 인접치 데이터 사이의 어댑테이션을 처리하는 동작, 및 상기 처리된 어댑테이션에 따라 적응된 상기 수복물 데이터를 표시하는 동작을 포함한다.

公开(公告)号：WO2023047117A1

公开(公告)日：2023-03-30

申请号：PCT/GB2022/052404

申请日：2022-09-22

申请人： UCL BUSINESS LTD.

发明人： LILAONITKUL, Watjana ,  DUBIS, Adam ,  ARIKAN, Mustafa

IPC分类号： G16H30/00 ,  G06F16/55 ,  G06N3/04 ,  G06N3/08 ,  G06V10/82 ,  G06N7/00

摘要： A computer-implemented method of active learning for computer vision in digital images, comprising: inputting labelled image training examples into an artificial neural network in a training phase; training a computer vision model using the labelled training examples; carrying out a prediction task on each image of an unlabelled training set of unlabelled, unseen images using the model; calculating an uncertainty metric for the predictions in each image of the unlabelled training set; calculating a similarity metric for the unlabelled training set representing similarities between the images in the training set; selecting images from the unlabelled training set, in dependence upon both the similarity metric and the uncertainty metric of each image, to design a training set for labelling which tends to both lower the similarity between the selected images and increase the uncertainty of the selected images.

公开(公告)号：WO2023046576A1

公开(公告)日：2023-03-30

申请号：PCT/EP2022/075715

申请日：2022-09-16

申请人： KONINKLIJKE PHILIPS N.V.

发明人： DEMEWEZ, Tiblets Zeray ,  BARBIERI, Mauro ,  GAO, Qi ,  STOLIKJ, Milosh

IPC分类号： G16H40/40 ,  G16H40/67 ,  G16H30/00

摘要： A non-transitory computer readable medium (107, 127) stores data related to medical imaging devices (120) generated from log files (132) from the medical imaging devices; and instructions readable and executable by at least one electronic processor (101, 113) to: retrieve, based on a query received for a current service case, log data from the log files of the medical imaging device for which the current service case is to be performed including at least operational data of the medical imaging device related to the current service case to be performed; generate, from the retrieved log data, at least a subset of the operational data for the current service case to be provided to a maintenance provider; and provide, on a display device (105) of an electronic processing device (102) operable by the maintenance provider, a user interface (UI) (140) displaying information about the current service case.

公开(公告)号：WO2023028663A1

公开(公告)日：2023-03-09

申请号：PCT/AU2022/051076

申请日：2022-09-02

申请人： ATOMO DIAGNOSTICS LIMITED

发明人： KETKAR, Rohit ,  SUKUMAR, Chandra ,  KELLY, John

IPC分类号： A61B5/00 ,  A61B10/00 ,  A61B5/15 ,  G16H10/60 ,  G16H30/00 ,  G16H40/60 ,  G16H50/30 ,  G01N21/84 ,  G01N21/88 ,  G01N35/00 ,  G06T7/11 ,  G06T7/00

摘要： A method and system are provided to allow for the verification that a test, for example a point of care blood test, has been correctly performed. A software application on an imaging device, such as a smartphone, captures specific images at one or more stages of the test procedure, which are processed and analysed to ensure that they correspond to the correct status of the test unit at that stage in the procedure.

公开(公告)号：WO2023017843A1

公开(公告)日：2023-02-16

申请号：PCT/JP2022/030614

申请日：2022-08-10

申请人： 学校法人　久留米大学 ,  国立大学法人　名古屋工業大学

发明人： 大島　孝一 ,  三好　寛明 ,  佐藤　健作 ,  永石　美晴 ,  竹内　一郎 ,  本谷　秀堅

IPC分类号： C12M1/00 ,  C12Q1/02 ,  G16H30/00 ,  G16H50/20 ,  G01N33/48

摘要： 診断装置（１）は、抽出部（１０）と、数値化部（１１）と、を備える。抽出部（１０）は、リンパ細胞を含む複数の細胞が写る病理画像（２）から、個々の細胞核、個々の細胞及び細胞の分布状態（抽出情報（３））を抽出する。数値化部（１１）は、抽出部（１０）で抽出された個々の細胞核、個々の細胞及び細胞の分布状態に基づいて、個々の細胞核の特徴と、個々の細胞の特徴と、細胞の分布状態の特徴（数値情報（４））とを数値化する。

公开(公告)号：WO2023008906A1

公开(公告)日：2023-02-02

申请号：PCT/KR2022/011044

申请日：2022-07-27

申请人： 오스템임플란트 주식회사

发明人： 김종문 ,  조상형 ,  최규옥

IPC分类号： A61C13/00 ,  A61C9/00 ,  G06T19/20 ,  G06T17/00 ,  G16H50/50 ,  G16H30/00 ,  A61C8/00 ,  A61C5/70 ,  A61C1/08

摘要： 본 발명의 일 실시 예에 따른 서지컬 가이드를 디자인하기 위한 가상 어버트먼트의 추천 방법은, 디자인 장치가 치과용 영상 데이터에서 가상 크라운을 배치하는 단계; 상기 가상 크라운의 배치에 따라 가상 임플란트 바디를 디자인하는 단계; 상기 가상 어버트먼트가 환자 맞춤형 어버트먼트로 설정된 경우, 상기 가상 크라운과 상기 가상 임플란트 바디에 기초하여, 상기 환자 맞춤형 어버트먼트의 잇몸부 외곽 길이, 잇몸부 외곽 형상, 직경 및 크라운 삽입부 높이(Abutment Height, A/H) 값 중에서 적어도 하나를 결정하는 단계; 및 상기 결정에 기초하여, 기 저장된 어버트먼트 라이브러리 중에서 상기 환자 맞춤형 어버트먼트와 매칭되는 어버트먼트를 검색하는 단계를 포함할 수 있다.

公开(公告)号：WO2022269626A1

公开(公告)日：2022-12-29

申请号：PCT/IN2022/050547

申请日：2022-06-15

申请人： MIMYK MEDICAL SIMULATIONS PRIVATE LIMITED

发明人： PRAKASH, Prithvi ,  BARDE, Warsha ,  DORAISWAMY, Harish ,  SHIVSHANKAR, Nithin ,  MENON, S Raghu ,  CHAKRAVARTHY, Shanthanu

IPC分类号： G06T7/00 ,  G16H30/00 ,  G06N3/08

摘要： The present disclosure provides a method for semi-automatically generating annotated dataset for machine learning implementation for segmenting lesions in medical images. The method comprises utilizing a trained segmentation model to generate a first segmentation mask for each of the one or more lesions in medical images; implementing a geometric filter to validate the generated first segmentation mask; updating the trained segmentation model with the validated first segmentation mask; implementing the updated segmentation model to generate a second segmentation mask for each of the one or more lesions in the medical images; providing a user interface to allow an operator to validate last generated segmentation mask; and selecting the medical images with the validated generated segmentation mask, to generate a ground truth annotated dataset.

公开(公告)号：WO2022266559A2

公开(公告)日：2022-12-22

申请号：PCT/US2022/046533

申请日：2022-10-13

申请人： MATERIALISE NV ,  MATERIALISE USA, LLC ,  BARTELS, Ward ,  VAN DIJCK, Christophe

发明人： BARTELS, Ward ,  VAN DIJCK, Christophe

IPC分类号： A61C7/00 ,  A61C1/08 ,  A61C9/00 ,  A61B2017/00203 ,  A61B2017/00207 ,  A61B2034/105 ,  A61B34/10 ,  A61B34/25 ,  A61C11/00 ,  A61C7/002 ,  A61C9/004 ,  G16H30/00

摘要： Certain aspects of the present disclosure provide for a method of determining a virtual occlusion. The method may include obtaining a 3-D representation of a patient's first and second jaw portions. The method may further include, with the 3-D representation, representing in a GUI an initial position of the first jaw portion relative to the second jaw portion, the initial position being defined by six pre-determined degrees of freedom relative to a coordinate system fixed relative to the first jaw portion. The method may further include receiving user input of changes at least one degree of freedom, and automatically adjusting at least one other degree of freedom to minimize a vertical distance of the control point to the origin, thereby determining a virtual occlusion. The method may further include representing, in the GUI, the first and second jaw portions in the determined virtual occlusion.

公开(公告)号：WO2022259429A1

公开(公告)日：2022-12-15

申请号：PCT/JP2021/021954

申请日：2021-06-09

申请人： 日本電気株式会社

发明人： 渡邉　和浩 ,  海老原　章記 ,  宮川　大輝

IPC分类号： G06F16/906 ,  G16H30/00 ,  G16H50/20

摘要： 一実施形態によれば、情報処理装置（１００）は、系列データに含まれる複数の要素を逐次的に取得する取得部（１１０）と、複数の要素の各々について、複数のクラスのいずれに属することが妥当であるかを示す指標を、複数の要素のうちの２以上の要素に基づいて算出する第１算出部（１２０）と、複数の要素の各々の指標の重要度を示す重みを算出する第２算出部（１３０）と、複数の要素のそれぞれの指標を対応する重みで重み付けしたうえで統合して、系列データが複数のクラスのいずれに属することが妥当であるかを示す統合指標を算出する第３算出部（１４０）と、統合指標に基づいて、系列データをいずれかのクラスに分類する分類部（１５０）と、を備える。