Method for generating training image used to train image-based artificial intelligence model for analyzing images obtained from multi-channel one-dimensional signals, and device performing same
AssigneeSeoul National University Hospital
InventorJoonghee Kim
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Abstract
In an aspect, exemplary embodiments of the present disclosure provide a training image generation method and device that can generate training images in large quantity by varying image formats and signal patterns to solve the problems that are generated when two-dimensional image training is performed using only one format without considering variety of formats, for example, a technology for generating training images that are used to training an image-based artificial intelligence model for analyzing images obtained from multi-channel one-dimensional signals, and a method and device for performing the technology.
Claims25
A method for generating a training image that is performed by a computing device including a processor and a memory, comprising:
- generating a training signal on the basis of source signal information;
- selecting at least one output format from among a plurality of preset output formats to determine an output format of the training image, wherein each of the plurality of output formats is composed of one or more format elements determining a disposition structure of the output format, and the selecting at least one output format includes selecting any one output format or selecting two or more output formats from among the plurality of output formats, depending on a probability distribution set in advance for a set of the plurality of preset output formats, wherein when one output format is selected, the probability distribution is a multinomial distribution, and when two or more output formats are selected, the probability distribution is a binomial distribution;
- determining an output section for each channel of the training signal on the basis of a length of a time section of a waveform of the determined output format;
- determining a grid scale of the training image by selecting a per-axis scale;
- drawing a grid pattern on a two-dimensional plane in accordance with the determined grid scale;
- setting a reference position of a waveform content of the training signal on the basis of at least one of the determined output section for each channel and the determined grid scale;
- and
- drawing the waveform content of the training image and a signal marker on the two-dimensional plane with the grid pattern drawn thereon.
Dependencies are inferred from the claim text.