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A medical image labeling method, system and device
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A technology for medical imaging and labeling, which is applied in the computer field, can solve the problems of time-consuming and costly data labeling, and achieve the effect of improving the convenience and low cost of labeling
Active Publication Date: 2021-07-20
北京小白世纪网络科技有限公司
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[0003] The first purpose of the present invention is to provide a medical image labeling method, system and device to solve the problem of time-consuming and very high cost of data labeling in the prior art;
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Embodiment 1
[0164] An embodiment of the present invention provides a medical image labeling device, such as Figure 26 As shown, it includes: a memory 260, a processor 262, and a computer program stored on the memory 260 and operable on the processor 262. When the computer program is executed by the processor 262, the following method steps are realized:
[0165] Step 2501, determine the starting point of the labeling rectangle according to the mouse coordinate point input by the labeler, and perform rectangular labeling on the target detection task;
[0166] Step 2502, according to the mouse coordinate points input by the labeler along the edge of the target area, automatically connect them into polylines to form a closed area, and perform polygon labeling on the target segmentation task;
[0167] Step 2503, starting from the starting coordinate point where the annotator presses the mouse, draws a line along the edge of the target area, and ends at the release coordinate point where the ...
Embodiment 2
[0182] An embodiment of the present invention provides a computer-readable storage medium, where a program for realizing information transmission is stored on the computer-readable storage medium, and when the program is executed by the processor 262, the following method steps are implemented:
[0183] Step 2501, determine the starting point of the labeling rectangle according to the mouse coordinate point input by the labeler, and perform rectangular labeling on the target detection task;
[0184] Step 2502, according to the mouse coordinate points input by the labeler along the edge of the target area, automatically connect them into polylines to form a closed area, and perform polygon labeling on the target segmentation task;
[0185] Step 2503, starting from the starting coordinate point where the annotator presses the mouse, draws a line along the edge of the target area, and takes the release coordinate point where the annotator releases the mouse as the end point, and a...
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Abstract
The invention discloses a medical image labeling method, system and device. The system comprises: a rectangle labeling module, which is used for determining the starting point of the labeling rectangle according to the mouse coordinate points input by the labeler, and performing the rectangle labeling on the target detection task; the polygon labeling module , which is used to automatically connect the mouse coordinate points input by the labeler along the edge of the target area into a polyline to form a closed area, and perform polygon labeling on the target segmentation task; the line labeling module is used to start when the labeler presses the mouse The coordinate point is the starting point, draw a line along the edge of the target area, and take the coordinate point where the labeler releases the mouse as the end point, and automatically connect the starting point and the end point to mark the target segmentation task; The input mouse coordinate point trajectory modifies the labeling area; the automatic labeling module is used to automatically determine and label the edge of the target area according to the image processingalgorithm according to the double-click or frame selection operation of the labeler.
Description
technical field [0001] The present invention relates to the field of computer technology, in particular to a medical image labeling method, system and device. Background technique [0002] The vigorous development of deep learning in recent years has put forward a strong demand for a large amount of labeled data, and the same is true for artificial intelligence (AI) medical imaging. Data labeling is a job that must be taken seriously. Data labeling is a very laborious, time-consuming, and expensive task. Therefore, it is an urgent problem to develop and provide a series of efficient and flexible annotation tools to obtain a large amount of high-quality annotation data in the shortest time and at the lowest cost. Contents of the invention [0003] The first purpose of the present invention is to provide a medical image labeling method, system and device to solve the problem of time-consuming and very high cost of data labeling in the prior art; [0004] The present inven...
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