Method for discriminating suspicious lesion in medical image, method for interpreting medical image, and computing device implementing the methods
AssigneeLunit Inc.
InventorsHyo-Eun KIM, Hyeonseob NAM
Life of this patent
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AssigneeLunit Inc.
InventorsHyo-Eun KIM, Hyeonseob NAM
Estimating the term…
A method for interpreting an input image by a computing device operated by at least one processor is provided. The method for interpreting an input image comprises storing an artificial intelligent (AI) model that is trained to classify a lesion detected in the input image as suspicious or non-suspicious and, under a condition of being suspicious, to classify the lesion detected in the input image as malignant or benign-hard representing that the lesion is suspicious but determined to be benign, receiving an analysis target image, by using the AI model, obtaining a classification class of a target lesion detected in the analysis target image and, when the classification class is the suspicious, obtaining at least one of a probability of being suspicious, a probability of being benign-hard, and a probability of malignant for the target lesion, and outputting an interpretation result including at least one probability obtained for the target lesion.
A computing device comprising:
A method for interpreting an input image by a computing device, the method comprising:
A non-transitory computer-readable storage medium, storing a program comprising instructions for causing a computing device to execute to:
Dependencies are inferred from the claim text.