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Method for providing an aggregate algorithm for processing medical data and method for processing medical data

A technology of medical data and algorithms, applied in systems, computer programs and computer-readable storage media, in the field of processing medical data, which can solve problems such as algorithm differences and inability to guarantee similarity

Pending Publication Date: 2020-12-22
SIEMENS HEATHCARE GMBH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, seemingly similar distributions can lead to huge differences in the resulting trained algorithms
Although the documentation recommends checking this fact by using local training with real and proxy data and comparing the trained algorithms, there is no guarantee that this behavioral similarity will persist when multiple proxy datasets are combined and used for training set up

Method used

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  • Method for providing an aggregate algorithm for processing medical data and method for processing medical data
  • Method for providing an aggregate algorithm for processing medical data and method for processing medical data
  • Method for providing an aggregate algorithm for processing medical data and method for processing medical data

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Embodiment Construction

[0064] figure 1 A schematic diagram of a system 1 is shown which can be used to provide aggregation algorithms for processing medical data and to process medical data. System 1 includes a plurality of processing units 2-5. The processing unit 2-4 implements a method for processing medical data, in particular medical image data. An acquisition device 7 , such as a medical imaging device, in particular a computed tomography scanner or a magnetic resonance tomography scanner, is used to provide the medical data 6 to the respective processing unit 2 , 3 , 4 . In this example, the acquisition device 7 is shown as a separate unit. However, it is possible to integrate the processing units 2 , 3 , 4 as part of the respective acquisition device 7 . The medical data 6 is processed by the program 8 to generate output data 9 and a local data representation 10, which can eg be output on an output device 12, in particular a monitor or similar, to inform a user of the output data 9. The ...

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Abstract

An embodiment of the disclosure relates to a method for providing an aggregate algorithm for processing medical data and a method for processing the medical data. A multitude of local algorithms is trained by machine learning, wherein the training of each respective local algorithm is performed on a respective local system using respective local training data, wherein a respective algorithm dataset concerning the respective local algorithm is transferred to an aggregating system that generates the aggregate algorithm based on the algorithm datasets.

Description

technical field [0001] The invention relates to a method for providing an aggregation algorithm for processing medical data, in particular medical image data, and a method for processing medical data. Furthermore, the present invention relates to a system, a computer program and a computer readable storage medium. Background technique [0002] Interest and research in the field of artificial intelligence and machine learning has been growing in recent years. Techniques such as deep learning have enabled major quality leaps in fully automated algorithms for segmenting and classifying image data, allowing such algorithms to be used in medical data processing, especially in the processing of medical image data middle. The most common approach in machine learning is supervised learning, which requires training data to train the algorithm. Often, it is necessary to at least manually identify features in the training data that need to be detected and / or defined, and optionally ...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H30/20G06N20/00G06V10/776
CPCG16H50/20G16H30/20G06N20/00G06V10/776G06F18/24133G06T7/10G16H30/00G06T7/0012G06T2207/20081G06F18/214G06F18/217
Inventor C·施米德M·舍恩宾格M·韦尔斯
Owner SIEMENS HEATHCARE GMBH
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