公开(公告)号：US20230298320A1

公开(公告)日：2023-09-21

申请号：US18115082

申请日：2023-02-28

申请人： Leica Biosystems Imaging, Inc.

发明人： Ji Wang ,  Chad Salinas

IPC分类号： G06V10/771 ,  G06T3/40 ,  G06T7/00 ,  G06T7/12 ,  G06V10/764

CPC分类号： G06V10/771 ,  G06T3/40 ,  G06T7/0012 ,  G06T7/12 ,  G06V10/764 ,  G06T2207/20084 ,  G06T2207/30024

摘要： An apparatus and methods for determining features in an image of a Hematoxylin and Eosin (H&E) stained tissue sample. An apparatus can be configured to apply a machine learning model to the H&E stained tissue sample image to determine features in the image. Applying the machine learning model can include performing convolution operations on the H&E stained tissue sample image to generate a plurality of initial feature maps, applying octave-convolution-first-layer operations on the initial feature maps to generate initial high-frequency feature maps and low-frequency feature maps, applying octave-convolution operations on the high-frequency initial feature maps to generate refined high-frequency feature maps, applying octave-convolution operations on the low-frequency initial feature maps to generate refined low-frequency feature maps, and applying octave-convolution last layer operations on the refined high-frequency feature maps and the refined low-frequency feature maps to produce combined feature maps.