公开(公告)号：US11416716B2

公开(公告)日：2022-08-16

申请号：US16934293

申请日：2020-07-21

申请人： Kavya Venkata Kota Sai Kopparapu

发明人： Kavya Venkata Kota Sai Kopparapu

IPC分类号： G06K9/00 ,  B41M5/00 ,  G06K9/62 ,  G06T7/00 ,  G16H30/20 ,  G16B25/00 ,  G16B40/00 ,  G16B20/00 ,  G16B40/20 ,  G06V10/44 ,  G06V20/69 ,  G06V30/194

摘要： Cancer can be an aggressive disease. It is critical to determine the most effective patient-specific treatment quickly. Exemplary embodiments use a data-driven approach to extracting tumor information from data obtain from Whole Slide Image that is uploaded through an interface. Exemplary embodiments generate the following information about a tumor from a biopsy slide using neural networks: annotated areas of relevant tissues, molecular subtype, and expression status of an important gene and include three steps: the segmentation of tumor features; prediction of molecular subtype; and prediction of gene methylation status from a WSI.