Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Systems and methods for training generative adversarial networks and use of trained generative adversarial networks

A generative, network technology, applied in the field of network and neural network, can solve the problem of difficult real-time application of the system, and achieve the effect of good specialization, high accuracy and efficiency

Pending Publication Date: 2021-03-23
科斯默人工智能 AI有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As a result, these systems are often difficult to implement in the required real-time manner

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Systems and methods for training generative adversarial networks and use of trained generative adversarial networks
  • Systems and methods for training generative adversarial networks and use of trained generative adversarial networks
  • Systems and methods for training generative adversarial networks and use of trained generative adversarial networks

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The disclosed embodiments relate to computer-implemented systems and methods for training and using generative adversarial networks. Advantageously, the exemplary embodiments may provide improved training networks and fast and efficient object detection. Embodiments of the present disclosure may also provide improved object detection with reduced false positives for medical image analysis.

[0040] Embodiments of the present disclosure can be implemented and used in a variety of applications and vision systems. For example, embodiments of the present disclosure may be implemented for medical image analysis systems and other types of systems that benefit from object detection where objects may be true positives or false positives. Although embodiments of the present disclosure are generally described herein with reference to medical image analysis and endoscopy, it should be understood that the embodiments are also applicable to other medical imaging procedures such as ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present disclosure relates to systems and methods for training generative adversarial networks and use of trained 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 representations of the feature-of-interest, and apply the trained object detection network to the second plurality to produce a plurality of detection of the feature-of-interest. Additionally, the processor(s) may provide manually set verification of true positives and false positives with respect to the plurality of detection, use the verification to train a generative adversarial network, and retrain the generative adversarial network using at least one further set of images, further detection, and further manually set verification.

Description

technical field [0001] The present disclosure relates generally to the field of neural networks and to the use of such networks for image analysis and object detection. More specifically, but not limitation, the present disclosure relates to systems and methods for training generative adversarial networks and computer-implemented systems and methods using such generative adversarial networks. The systems, methods, and trained neural networks disclosed herein can be used in various applications and vision systems, such as medical image analysis and systems that benefit from accurate object detection capabilities. Background technique [0002] In many object detection systems, objects are detected in images. Objects of interest can be people, places, or things. Localization of objects is also important in applications such as medical image analysis and diagnosis. However, computer-implemented systems utilizing image classifiers typically cannot recognize or provide the loca...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06V2201/031G06F18/2413G06N3/08G06T7/0012G06T2207/30096G06T2207/10068A61B1/273G06T2207/30032G06T2207/20081A61B1/00009G06F18/217G06F18/214A61B1/00055A61B1/31A61B1/000096A61B1/2736G06F18/2148G06F18/41G06N3/045G06N3/088G16H30/40G16H50/20G06T2207/10016G06T2207/20084G06V2201/032
Inventor N·吴丁朱利奥·伊万吉利斯提弗拉维奥·纳瓦里
Owner 科斯默人工智能 AI有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com