Semi-Automatic Solution for
Medical Image Data
Medical Image Data
Semi-Automatic Solution for
Medical Image Data
Medical Image Data
MediLabel
MediLabel is a deep learning medical image labeling software focused on user convenience.
By learning the user's labeling pattern, medical images can be labeled quickly.
Smart Pencil
By clustering pixels using an artificial intelligence algorithm, it is efficient to annotate multiple pixels with one click. For easy areas, we divide them into large pieces. For difficult areas, detailed annotations are possible by dividing them into small pieces.
Read moreSmart Fill
It is suitable for labeling small and fine areas by annotating the desired area through the Scribble function. Fine adjustment is possible by adjusting the Negative/Positive Point.
Read moreAuto correction
If you are not satisfied with the labeling results, AI analyzes the labeling results and surrounding intensity. Based on the analysis, the AI modifies it to the approximate result. It can greatly increase the boundary accuracy of incomplete labeling data. It is a complementary feature when used with Smart Pencil and Smart Fill.
Read more3D fill
It is a function that predicts and automatically labels other slices with less already labeled data. In the case of MRI or CT with multiple slices in one piece of data, it can save time. In addition, It is possible to predict the medical data of other patients only for the same disease. Accuracy can be increased by the number of labeled data.
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