公开(公告)号：US20230263384A1

公开(公告)日：2023-08-24

申请号：US18165232

申请日：2023-02-06

Applicant: COSMO ARTIFICIAL INTELLIGENCE - AI LIMITED

Inventor： NHAN NGO DINH ,  GIULIO EVANGELISTI ,  FLAVIO NAVARI

IPC: A61B1/31 ,  G06T11/60 ,  A61B1/00 ,  G06N3/08 ,  A61B5/00 ,  G06V10/25 ,  G06V20/40 ,  G06T11/20 ,  G06V10/82 ,  G06V10/20 ,  G06T11/00 ,  G16H30/20 ,  G06T7/70 ,  G06T7/00

CPC classification number: A61B1/31 ,  G06T11/60 ,  A61B1/000095 ,  G06N3/045 ,  G06N3/08 ,  A61B5/7264 ,  G06V10/25 ,  A61B5/7267 ,  A61B1/000096 ,  G06V20/49 ,  A61B1/00055 ,  G06T11/203 ,  G06V10/82 ,  G06V20/40 ,  G06V10/255 ,  G06F18/214 ,  G06T11/001 ,  G16H30/20 ,  A61B1/000094 ,  G06T7/70 ,  G06T7/0012 ,  G06T2207/10068 ,  G06T2207/20084 ,  G06V2201/032 ,  G06T2207/30064 ,  G06T2207/10016 ,  G06T2207/30032 ,  G06T2207/30004 ,  G06V2201/03 ,  G06T2207/30096

Abstract: The present disclosure relates to systems and methods for processing real-time video and detecting objects in the video. In one implementation, a system is provided that includes an input port for receiving real-time video obtained from a medical image device, a first bus for transferring the received real-time video, and at least one processor configured to receive the real-time video from the first bus, perform object detection by applying a trained neural network on frames of the received real-time video, and overlay a border indicating a location of at least one detected object in the frames. The system also includes a second bus for receiving the video with the overlaid border, an output port for outputting the video with the overlaid border from the second bus to an external display, and a third bus for directly transmitting the received real-time video to the output port.

公开(公告)号：US20230255468A1

公开(公告)日：2023-08-17

申请号：US18165180

申请日：2023-02-06

Applicant: COSMO ARTIFICIAL INTELLIGENCE-AI LIMITED

Inventor： NHAN NGO DINH ,  GIULIO EVANGELISTI ,  FLAVIO NAVARI

IPC: A61B1/31 ,  G06T7/70 ,  G16H30/20 ,  G06N3/08 ,  G06T7/00 ,  G06T11/00 ,  G06T11/60 ,  G06T11/20 ,  A61B1/00 ,  A61B5/00 ,  G06V20/40 ,  G06V10/82 ,  G06F18/214 ,  G06N3/045 ,  G06V10/25 ,  G06V10/20

CPC classification number: A61B1/31 ,  G06T7/70 ,  G16H30/20 ,  G06N3/08 ,  G06T7/0012 ,  G06T11/001 ,  G06T11/60 ,  G06T11/203 ,  A61B1/00055 ,  A61B5/7264 ,  G06V20/49 ,  A61B1/000096 ,  A61B5/7267 ,  G06V10/82 ,  A61B1/000094 ,  A61B1/000095 ,  G06F18/214 ,  G06N3/045 ,  G06V20/40 ,  G06V10/25 ,  G06V10/255 ,  G06T2207/10016 ,  G06T2207/20084 ,  G06T2207/30032 ,  G06T2207/30096 ,  G06T2207/10068 ,  G06V2201/03 ,  G06V2201/032 ,  G06T2207/30004 ,  G06T2207/30064

Abstract: The present disclosure relates to systems and methods for processing real-time video and detecting objects in the video. In one implementation, a system is provided that includes an input port for receiving real-time video obtained from a medical image device, a first bus for transferring the received real-time video, and at least one processor configured to receive the real-time video from the first bus, perform object detection by applying a trained neural network on frames of the received real-time video, and overlay a border indicating a location of at least one detected object in the frames. The system also includes a second bus for receiving the video with the overlaid border, an output port for outputting the video with the overlaid border from the second bus to an external display, and a third bus for directly transmitting the received real-time video to the output port.

公开(公告)号：US20240303299A1

公开(公告)日：2024-09-12

申请号：US18652226

申请日：2024-05-01

Applicant: COSMO ARTIFICIAL INTELLIGENCE – AI LIMITED

Inventor： NHAN NGO DINH ,  GIULIO EVANGELISTI ,  FLAVIO NAVARI

IPC: G06F18/2413 ,  A61B1/00 ,  A61B1/273 ,  A61B1/31 ,  G06F18/21 ,  G06F18/214 ,  G06F18/40 ,  G06N3/045 ,  G06N3/08 ,  G06N3/088 ,  G06T7/00 ,  G16H30/40 ,  G16H50/20

CPC classification number: G06F18/2413 ,  A61B1/000096 ,  A61B1/273 ,  A61B1/2736 ,  A61B1/31 ,  G06F18/214 ,  G06F18/2148 ,  G06F18/217 ,  G06F18/41 ,  G06N3/045 ,  G06N3/08 ,  G06N3/088 ,  G06T7/0012 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10016 ,  G06T2207/10068 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30032 ,  G06T2207/30096 ,  G06V2201/032

Abstract: The present disclosure relates to computer-implemented systems and methods for training and using generative adversarial networks. In one implementation, a system for training a generative adversarial network may include at least one processor that may provide a first plurality of images including representations of a feature-of-interest and indicators of locations of the feature-of-interest and use the first plurality and indicators to train an object detection network. Further, the processor(s) may provide a second plurality of images including representation of the feature-of-interest, and apply the trained object detection network to the second plurality to produce a plurality of detections of the feature-of-interest. Additionally, the processor(s) may provide manually set verifications of true positives and false positives with respect to the plurality of detections, use the verifications tr train a generative adversarial network, and retrain the generative adversarial network using at least one further set of images, further detections, and further manually set verifications.

公开(公告)号：US20240108209A1

公开(公告)日：2024-04-04

申请号：US18525800

申请日：2023-11-30

Applicant: COSMO ARTIFICIAL INTELLIGENCE - AI LIMITED

Inventor： NHAN NGO DINH ,  GIULIO EVANGELISTI ,  FLAVIO NAVARI

IPC: A61B1/31 ,  A61B1/00 ,  A61B5/00 ,  G06F18/214 ,  G06N3/045 ,  G06N3/08 ,  G06T7/00 ,  G06T7/70 ,  G06T11/00 ,  G06T11/20 ,  G06T11/60 ,  G06V10/20 ,  G06V10/25 ,  G06V10/82 ,  G06V20/40 ,  G16H30/20

CPC classification number: A61B1/31 ,  A61B1/000094 ,  A61B1/000095 ,  A61B1/000096 ,  A61B1/00055 ,  A61B5/7264 ,  A61B5/7267 ,  G06F18/214 ,  G06N3/045 ,  G06N3/08 ,  G06T7/0012 ,  G06T7/70 ,  G06T11/001 ,  G06T11/203 ,  G06T11/60 ,  G06V10/25 ,  G06V10/255 ,  G06V10/82 ,  G06V20/40 ,  G06V20/49 ,  G16H30/20 ,  G06T2207/10016 ,  G06T2207/10068 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/30032 ,  G06T2207/30064 ,  G06T2207/30096 ,  G06V2201/03 ,  G06V2201/032

Abstract: The present disclosure relates to systems and methods for processing real-time video and detecting objects in the video. In one implementation, a system is provided that includes an input port for receiving real-time video obtained from a medical image device, a first bus for transferring the received real-time video, and at least one processor configured to receive the real-time video from the first bus, perform object detection by applying a trained neural network on frames of the received real-time video, and overlay a border indicating a location of at least one detected object in the frames. The system also includes a second bus for receiving the video with the overlaid border, an output port for outputting the video with the overlaid border from the second bus to an external display, and a third bus for directly transmitting the received real-time video to the output port.