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公开(公告)号:US20210304889A1
公开(公告)日:2021-09-30
申请号:US15734907
申请日:2019-06-04
Applicant: DEEP BIO INC.
Inventor: Sanghun LEE , JoonYoung CHO , Sun Woo KIM
Abstract: A two-phase disease diagnosis system includes a processor and a storage device storing a neural network, and using a slide including a biometric image and the neural network. The system includes a patch neural network that receives, through an input layer, a given patch segmented in a given size from the slide and outputs patch level diagnosis results indicating whether a disease is present in the patch and a slide diagnosis engine that marks a patch determined to be cancer based on the patch level diagnosis results for each of multiple patches included in the slide and outputs slide level diagnosis results indicating whether a disease is present in the slide based on the marked results. The patch neural network receives, through the input layer, four-channel information including original color information three-channels and a gray channel for the patch.
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公开(公告)号:US20210142900A1
公开(公告)日:2021-05-13
申请号:US16972231
申请日:2019-06-04
Applicant: DEEP BIO INC.
Inventor: Sanghun LEE , JoonYoung CHO , Sun Woo KIM
IPC: G16H50/20
Abstract: A disease diagnosis system includes a processor and a storage device storing a neural network. The processor trains the neural network in the storage device to output a determination value corresponding to a probability having at least one of a plurality of states using a given loss function and learning data labeled so that a given unitary unit included in a biometric image is to have at least one of the plurality of states. The neural network includes a specific layer to output a plurality of feature values corresponding to a probability that the unitary unit is to be determined as each of the plurality of states. The loss function incorporates both first and second feature values corresponding to first and second states into a dual labeling unitary unit with the first state having a higher probability and a second state having lower probability.
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