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公开(公告)号：US12148151B2
公开(公告)日：2024-11-19
申请号：US17271214
申请日：2019-08-07
Applicant: DEEP BIO INC.
Inventor： Joon Young Cho , Sun Woo Kim
Abstract: A system for diagnosing a disease, implemented in a system and which uses a slide of a biological image, and a neural network, includes a patch level segmentation neural network which, for each patch in which the slide is divided into a predetermined size, receives the patch through an input layer and specifies an area in which a disease exists in the patch, wherein the patch level segmentation neural network is provided with a disease diagnosis system including a patch level classification neural network which receives the patch through an input layer and outputs a patch level classification result regarding whether the disease exists in the patch, and a patch level segmentation architecture which receives a feature map generated in each of plural feature extraction layers among hidden layers included in the patch level classification neural network and specifies an area in which a disease exists in the patch.
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公开(公告)号：US12045977B2
公开(公告)日：2024-07-23
申请号：US17266103
申请日：2019-08-07
Applicant: DEEP BIO INC.
Inventor： Sang Hun Lee , Sun Woo Kim
CPC classification number: G06T7/0012 , G06N3/10 , G06T7/90 , G16H30/20 , G16H30/40 , G16H50/20 , G16H50/70 , G06T2207/10024 , G06T2207/20021 , G06T2207/20081 , G06T2207/20084 , G06T2207/30024
Abstract: A disease diagnosis system implemented in a system including a processor and which uses the neural network and a slide on which biological tissue is provided and from which a biological image is obtained, the system including: a pre-processing module for generating first to Kth image information corresponding to each of a plurality of patches obtained by dividing the slide into a predetermined size, wherein ith image information, 1
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公开(公告)号：US12169926B2
公开(公告)日：2024-12-17
申请号：US17266090
申请日：2019-08-07
Applicant: DEEP BIO INC.
Inventor： Joon Young Cho , Sun Woo Kim
Abstract: A system for disease diagnosis includes a patch neural network for generating a patch-level diagnostic result of whether or not a disease is present in each of predetermined patches formed by dividing a slide into a predetermined size; a heat map generation module for generating a patch-level heat map image corresponding to the biometric image obtained from the slide on the basis of the patch diagnostic results of the respective multiple patches included in the slide; a tissue mask generation module for generating a tissue mask image corresponding to the biometric image obtained from the slide on the basis of a hue-saturation-value (HSV) model corresponding to the slide; and a visualization module for generating a disease diagnostic visualization image corresponding to the biometric image obtained from the slide on the basis of the patch-level heat map image and the tissue mask image.
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公开(公告)号：US12062450B2
公开(公告)日：2024-08-13
申请号：US17626806
申请日：2020-07-10
Applicant: DEEP BIO INC.
Inventor： Sun Woo Kim , Joon Young Cho , Sang Hun Lee
CPC classification number: G16H50/20 , G06F18/24 , G06T7/0012 , G06T7/11 , G16H30/20 , G16H30/40 , G06V10/70
Abstract: A disease diagnosis system uses a slide of a biological image and the neural network, the disease diagnosis system including a patch-level segmentation neural network that receives, for each predetermined patch in which the slide is divided into a predetermined size, the patch as an input layer so as to specify the area in which the disease in the patch exists, wherein the patch-level segmentation neural network comprises: a patch-level classification neural network, which receives the patch as an input layer so as to output a patch-level classification result about whether the disease exists in the patch; and a patch-level segmentation architecture, which receives a feature map generated in each of two or more feature map extraction layers from among hidden layers included in the patch-level classification neural network, so as to specify the area in which the disease in the patch exists.
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Patent Agency Ranking
公开(公告)号：US11798686B2
公开(公告)日：2023-10-24
申请号：US17282775
申请日：2019-10-04
Applicant: DEEP BIO INC.
Inventor： Tae Yeong Kwak , Sang Hun Lee , Sun Woo Kim
CPC classification number: G16H50/20 , G06N3/045 , G06N3/088 , G06T7/0014 , G16H30/40 , G06F18/2148 , G06T2207/30081 , G06V2201/03
Abstract: A system for searching for a pathological image includes: an autoencoder having an encoder for receiving an original pathological image and extracting a feature of the original pathological image, and a decoder for receiving the feature of the original pathological image extracted by the encoder and generating a reconstructed pathological image corresponding to the original pathological image; a diagnostic neural network for receiving the reconstructed pathological image generated by the autoencoder that has received the original pathological image, and outputting a diagnosis result of a predetermined disease; and a training module for training the autoencoder and the diagnostic neural network by inputting a plurality of training pathological images, each labeled with a diagnosis result, into the autoencoder. The autoencoder is trained by reflecting the diagnosis result of the reconstructed pathological image output from the diagnostic neural network.
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公开(公告)号：US11074686B2
公开(公告)日：2021-07-27
申请号：US16468173
申请日：2017-12-06
Applicant: DEEP BIO, INC.
Inventor： Sun Woo Kim
Abstract: A disease diagnosis system including a processor and a storage device for storing a neural network and using a biometric image and the neural network, the disease diagnosis system including a micro-neural network for receiving a first tile included in the biometric image through a first input layer, and including a plurality of first layers and an output layer, and a macro-neural network for receiving a macro-tile including the first tile and at least one or more second tiles adjacent to the first tile through a second input layer, and including a plurality of second layers and the output layer, in which the output layer includes at least one state channel indicating a state of a disease of a biological tissue corresponding to the first tile.
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公开(公告)号：US12009099B2
公开(公告)日：2024-06-11
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
CPC classification number: 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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公开(公告)号：US11995819B2
公开(公告)日：2024-05-28
申请号：US17266098
申请日：2019-08-07
Applicant: DEEP BIO INC.
Inventor： Sang Hun Lee , Sun Woo Kim
CPC classification number: G06T7/0012 , G06F40/143 , G06N3/08 , G06T7/13 , G06T7/136 , G06T7/90 , G16H15/00 , G06T2207/20021 , G06T2207/20084 , G06T2207/30024 , G06T2207/30081 , G06T2207/30096
Abstract: A system and a method that output in both a machine-readable and a human-readable format, a result obtained by performing a diagnosis of a disease through an image of living tissue. A diagnosis result generation system includes a marking information generation module for generating marking information indicating a result obtained by diagnosing whether a disease is present in biological tissue provided on a slide of which a biological image is obtained therefrom, wherein the marking information includes disease state information for each pixel of the biometric image obtained from the slide; a contour extraction module for extracting at least one contour from the marking information; and a machine-readable/human-readable generation module for generating a machine-readable/human-readable document including outline information of each of the at least one extracted contour.
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公开(公告)号：US12051504B2
公开(公告)日：2024-07-30
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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