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Online and offline fused medical image quality interpretation method and system, and storage medium

A medical imaging, online and offline technology, applied in the field of image processing

Pending Publication Date: 2020-10-20
东软教育科技集团有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to overcome the above-mentioned problems caused by manual discrimination and artificial intelligence discrimination, and propose an online and offline fusion intelligent medical image quality interpretation adaptive method, system and storage medium

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  • Online and offline fused medical image quality interpretation method and system, and storage medium
  • Online and offline fused medical image quality interpretation method and system, and storage medium
  • Online and offline fused medical image quality interpretation method and system, and storage medium

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Embodiment Construction

[0049] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0050] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention provides an online and offline fused medical image quality interpretation self-adaption method and system, and a storage medium. According to the online and offline fused medical image quality interpretation method, ''online'' operation is reflected in that a doctor can acquire a medical image quality interpretation result in real time at the image acquisition end; ''off-line'' operation is reflected in correction of prediction results by an image storage end and a medical cloud server and retraining and upgrading processes of an AI model; and ''self-adaption'' is reflected in that a closed loop is formed in the whole online and offline processes, so that online real-time return and offline feedback correction are continuously iterated and optimized, and online and offline fusion is realized. The online and offline fused medical image quality interpretation method ensures the real-time performance of acquiring the quality interpretation result by the doctor, continuouslyimproves the generalization and accuracy degree of the model by retraining and upgrading the AI model, has great significance in clinical application, can greatly reduce the time cost of manual interpretation of doctors, improves the accuracy and efficiency of auxiliary diagnosis of intelligent medical image quality interpretation, and achieves early discovery and early modification of low-qualityimages to the maximum extent.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an online and offline fusion intelligent medical image quality interpretation adaptive method, system and storage medium. Background technique [0002] With the continuous development of modern digital technology, the importance of medical imaging in basic medicine and clinical medicine has become increasingly prominent. High-quality and high-level images are an important basis for ensuring the professionalism and accuracy of medical diagnosis. Therefore, medical image quality interpretation can detect low-quality or wrong images early and control them at the front end to provide reliable image information for clinical diagnosis. . [0003] Nowadays, medical image quality interpretation mostly relies on professional radiologists to conduct manual judgment after the event according to quality control standards. However, manual interpretation is time-consuming, hi...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06N3/08G06K9/62H04L29/08
CPCG06T7/0012G06N3/084H04L67/10G06T2207/30168G06T2207/20081G06T2207/20084G06F18/24
Inventor 李雪孙箫宇于丹来关军王澈苏康熊晟博
Owner 东软教育科技集团有限公司
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