公开(公告)号：WO2023059920A1

公开(公告)日：2023-04-13

申请号：PCT/US2022/046123

申请日：2022-10-07

Applicant: GENENTECH, INC.

Inventor： NGUYEN, Trung Kien ,  LIANG, Yuan

IPC: G06T7/00 ,  G06T2207/10056 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T7/0012

Abstract: Embodiments of a computer-implemented method for analyzing a whole slide image (WSI) in light of biological context may include extracting an embedding for each of a set of patches sampled from a WSI, wherein the embedding represents extracted one or more histological features of the respective patch of the WSI. For each of the patches, the corresponding embedding may be encoded with a spatial context and a semantic context. The spatial context may model attention to a local pattern related to the one or more histological features. The local pattern may span a region in the WSI beyond the corresponding patch. The semantic context may model attention to a global pattern over the WSI as a whole. A representation for the WSI may be generated by combining the encoded patch embeddings. A pathological task may then be performed based on the representation for the WSI.

公开(公告)号：WO2023059876A1

公开(公告)日：2023-04-13

申请号：PCT/US2022/046040

申请日：2022-10-07

Applicant: COGNEX CORPORATION

Inventor： LIU, Zihan, Hans ,  HANHART, Philippe ,  WYSS, Reto ,  BARKER, Simon, Alaric

IPC: G06V20/62 ,  G06V10/82 ,  G06T7/00 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30108 ,  G06T2207/30164 ,  G06T5/002 ,  G06T7/0004 ,  G06T7/70 ,  G06T7/73 ,  G06V10/764 ,  G06V10/7715 ,  G06V10/774 ,  G06V20/50 ,  G06V20/63 ,  G06V20/70

Abstract: The techniques described herein relate to computerized methods and apparatuses for detecting objects in an image. The techniques described herein further relate to computerized methods and apparatuses for detecting one or more objects using a pretrained machine learning model and one or more other machine learning models that can be trained in a field training process. The pre-trained machine learning model may be a deep machine learning model.

公开(公告)号：WO2023058067A1

公开(公告)日：2023-04-13

申请号：PCT/IN2022/050904

申请日：2022-10-07

Applicant: QURE.AI TECHNOLOGIES PRIVATE LIMITED

Inventor： WARIER, Prashant ,  MODI, Ankit ,  PUTHA, Preetham ,  VANAPALLI, Prakash ,  CHALLA, Vikash

IPC: G06T7/00 ,  G16H30/40 ,  G06N20/00 ,  A61B6/032 ,  A61B6/50 ,  A61B6/5217 ,  A61B6/5223 ,  A61B6/5258 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30064 ,  G06T5/002 ,  G06T7/0012 ,  G06T7/0016 ,  G06T7/11 ,  G06T7/40 ,  G06T7/62 ,  G06V10/25 ,  G06V10/273 ,  G06V10/75 ,  G06V10/82 ,  G06V2201/03 ,  G16H10/60 ,  G16H50/20 ,  G16H50/30

Abstract: Disclosed is a system (102) and a method for monitoring a CT scan image. A CT scan image may be resampled into a plurality of slices using a bilinear interpolation. A region of interest may be identified on each slice using an image processing technique. The region of interest may be masked on each slice using deep learning. Subsequently, a nodule may be detected as the region of interest using the deep learning. Further, a plurality of characteristics associated with the nodule may be identified. Furthermore, an emphysema may be detected in the region of interest on each slice. A malignancy risk score for the patient may be computed. A progress of the nodule may be monitored across subsequent CT scan images. Finally, a report of the patient may be generated.

公开(公告)号：WO2023001674A2

公开(公告)日：2023-01-26

申请号：PCT/EP2022/069670

申请日：2022-07-13

Applicant: SONY GROUP CORPORATION ,  SONY EUROPE B.V.

Inventor： SIDDIQUI, Muhammad ,  MEL, Mazen

IPC: H04N5/225 ,  H04N5/232 ,  G06T7/00 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T5/003 ,  G06T7/50 ,  H04N23/55 ,  H04N23/80

Abstract: A camera, including: an imaging unit including: an image sensor configured to generate image data; and a phase mask configured to apply a multi-order-helix rotating point spread function, RPSF, on light incident on the image sensor, the light originating from point objects in a scene, wherein the RPSF has peaks which rotate with respect to a reference axis as a function of defocus of the point objects, such that the image sensor generates image data representing a blurred image of the scene in which the point objects are represented blurred in accordance with the RPSF.

公开(公告)号：WO2023278705A1

公开(公告)日：2023-01-05

申请号：PCT/US2022/035728

申请日：2022-06-30

Applicant: NESSIM, Maurice

Inventor： MOLDOVEANU, Nicolae

IPC: G06K7/00 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30096 ,  G06T5/50 ,  G06T7/0012 ,  G06T7/0016

Abstract: Systems and methods for medical imaging and analysis, comprising: generating raw medical image data from a medical imaging hardware device; processing the raw medical image data, and generating a processed raw medical image file; transmitting the processed medical image data file and imaging data; identifying a normalization factor based on the imaging detail data; normalizing the processed medical image data file using the normalization factor; comparing the processed medical image data file with at least one other processed medical image data file, and subtracting the difference between the processed medical image file with the at least one other processed medical image file; and generating and displaying in a graphical user interface of a device, a graphical representation of the difference by the imaging analysis system.

公开(公告)号：WO2023278611A1

公开(公告)日：2023-01-05

申请号：PCT/US2022/035572

申请日：2022-06-29

Applicant: AMPLY POWER, INC.

Inventor： SHAOTRAN, Ethan ,  CHOW, Bryan M.

IPC: H02J13/00 ,  G06V10/82 ,  B60L53/62 ,  G06N3/0464 ,  G06N3/08 ,  G06N3/09 ,  G06Q30/018 ,  G06Q50/26 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T7/0004 ,  G06V20/00 ,  G06V2201/06 ,  G06V30/10 ,  H02J13/00002

Abstract: A method of determining a capability of an electrical panel includes providing information relative to the electrical panel to a computer vision software, such as through an image captured by a camera. An attribute of the electrical panel may be analyzed, using the computer vision software, panel at least partially based on the information. An overall electrical power capacity of the electrical panel may be calculated based at least in part on the attribute of the electrical panel. An electrical load on the electrical panel may be calculated based at least in part on the attribute of the electrical panel. A report may be generated that includes an unused electrical power capacity of the electrical panel at least partially based on the electrical load and the overall electrical power capacity of the electrical panel.

公开(公告)号：WO2023278550A1

公开(公告)日：2023-01-05

申请号：PCT/US2022/035490

申请日：2022-06-29

Applicant: INTRINSIC INNOVATION LLC

Inventor： STOPPI, Guy Michael ,  KALRA, Agastya ,  VENKATARAMAN, Kartik ,  KADAMBI, Achuta

IPC: B25J9/16 ,  B25J19/023 ,  B25J9/161 ,  B25J9/1612 ,  B25J9/1697 ,  G05B2219/40053 ,  G06N3/08 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T7/10 ,  G06T7/50 ,  G06T7/75

Abstract: A method for controlling a robotic system includes: capturing, by an imaging system, one or more images of a scene; computing, by a processing circuit including a processor and memory, one or more instance segmentation masks based on the one or more images, the one or more instance segmentation masks detecting one or more objects in the scene; computing, by the processing circuit, one or more pickability scores for the one or more objects; selecting, by the processing circuit, an object among the one or more objects based on the one or more pickability scores; computing, by the processing circuit, an object picking plan for the selected object; and outputting, by the processing circuit, the object picking plan to a controller configured to control an end effector of a robotic arm to pick the selected object.

公开(公告)号：WO2023278196A1

公开(公告)日：2023-01-05

申请号：PCT/US2022/034253

申请日：2022-06-21

Applicant: VARIAN MEDICAL SYSTEMS, INC.

Inventor： SAWKEY, Daren

IPC: G06T7/00 ,  G06K9/62 ,  G06F18/214 ,  G06F18/217 ,  G06N3/045 ,  G06N3/088 ,  G06T11/203 ,  G06T2200/24 ,  G06T2207/10072 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20104 ,  G06T2207/30004 ,  G06T2207/30016 ,  G06T2207/30096 ,  G06T2207/30168 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/12 ,  G06V10/46 ,  G06V10/752 ,  G06V10/774 ,  G06V10/778 ,  G06V10/82 ,  G06V2201/031 ,  G16H15/00 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H50/20

Abstract: A localized evaluation network incorporates a discriminator (111a) acting as classifier, which may be included within a generative adversarial network, GAN (111). GAN (111) may include a generative network such as U-NET for creating segmentations. The localized evaluation network is trained on image pairs (220) including medical images of organs of interest and segmentation (mask) images. The network is trained to distinguish whether an image pair (220) does or does not represent the ground truth. GAN (111) examines interior layers of the discriminator (111a) and evaluates how much each localized image region contributes to the final classification. The discriminator (111a) may analyze regions of the image pair (220) that contribute to a classification by analyzing layer weights of the machine learning model.

公开(公告)号：WO2023272876A1

公开(公告)日：2023-01-05

申请号：PCT/CN2021/110812

申请日：2021-08-05

Applicant: 上海美沃精密仪器股份有限公司 ,  复旦大学附属眼耳鼻喉科医院

Inventor： 沈阳 ,  周行涛 ,  李慧杰 ,  王崇阳 ,  陈文光 ,  赵婧 ,  李美燕 ,  冼艺勇 ,  徐海鹏 ,  牛凌凌 ,  赵武校 ,  韩田

IPC: G06T7/00 ,  A61B3/107 ,  G06F18/214 ,  G06F18/2413 ,  G06N3/045 ,  G06N3/08 ,  G06T2207/10101 ,  G06T2207/20081 ,  G06T2207/30041 ,  G06T7/0012 ,  G06T7/62

Abstract: 一种基于多模态数据的双眼圆锥角膜诊断方法，利用双眼角膜屈光四图和角膜绝对高度数据，考虑双眼之间的相互关系，结合了基于深度卷积网络方法、传统机器学习svm方法以及可调整的BSF高度图增强方法来识别病灶的敏感性及特异性，并平衡其敏感性和特异性，多维度综合判断以病人为单位的圆锥角膜发病率，诊断方法有更强的鲁棒性和准确性。

公开(公告)号：WO2022272239A1

公开(公告)日：2022-12-29

申请号：PCT/US2022/073050

申请日：2022-06-21

Applicant: BOSTON SCIENTIFIC SCIMED, INC.

Inventor： TRUE, Kyle ,  FOSTER, Daniel, J. ,  ORDAS CARBONI, Sebastian

IPC: G06N20/00 ,  A61B34/20 ,  G06N3/04 ,  G06N3/08 ,  G16H40/63 ,  A61B2034/2051 ,  A61B2034/2061 ,  A61B2034/2063 ,  A61B2034/2065 ,  A61B2090/364 ,  A61B2090/378 ,  G06N3/044 ,  G06N3/045 ,  G06N3/084 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/30061 ,  G06T7/70 ,  G16H30/40 ,  G16H40/67 ,  G16H50/50

Abstract: A method of providing in vivo navigation of a medical device includes: receiving input medical imaging data of a patient's anatomy; receiving input non optical in vivo image data from a sensor on a distal end of the device in the anatomy; using a trained model to locate the distal end in the input imaging data, wherein: the model is trained, based on (i) training medical imaging data and training non-optical in vivo image data of one or more individuals' anatomy and (ii) registration data associating the training image data with locations in the training imaging data as ground truth, to learn associations between the training image data and the training imaging data; determining an output location of the medical device using the learned associations and the input data; modifying the input imaging data to depict the determined location; and causing a display to output the modified input imaging data.