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公开(公告)号：US20230034727A1
公开(公告)日：2023-02-02
申请号：US17388576
申请日：2021-07-29
Applicant: Rakuten Group, Inc.
Inventor： Abhishek VAHADANE , Devraj MANDAL , Shantanu MAJUMDAR , Madan DABBEERU
Abstract: A method, computer program, and computer system is provided for image processing. Data corresponding to an out-of-focus image is received. A first image is generated based on segmenting the received data. A second image is generated based on sharpening the received data corresponding to the out-of-focus image. A third image corresponding to one or more predetermined objects (e.g., cells) in the out-of-focus image is generated based on post-processing the generated first and second images.
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公开(公告)号：US20240038388A1
公开(公告)日：2024-02-01
申请号：US17876713
申请日：2022-07-29
Applicant: Rakuten Group, Inc.
Inventor： Shreya SHARMA , Srikanth RAGOTHAMAN , Shantanu MAJUMDAR
CPC classification number: G16H50/20 , G16H30/40 , G06V10/22 , G06V10/82 , G06T7/0014 , G06V10/40 , G06V10/764 , G06T2207/20084 , G06T2207/20081 , G06V2201/032 , G06T2207/30096
Abstract: A method, apparatus, and non-transitory computer-readable medium are provided for image processing of medical images. The method may include receiving one or more medical images. Tissue regions may be identified in each of the one or more medical images. The method may include generating patches associated with respective identified tissue regions. A patch tumor burden (TMB) score may be predicted for each of the patches based on a neural network model, wherein the neural network model is trained using a distribution smoother and a weighted loss function. The method may also include a tumor burden score being generated for each of the one or more medical images based on the patch tumor burden score for patches associated with the respective identified tissue regions in respective medical images from the one or more medical images.
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