JABER, MUSTAFA,SONG, BING,SZETO, CHRISTOPHER,VASKE, CHARLES
申请号：
CA3079438
公开号：
CA3079438A1
申请日:
2018.11.28
申请国别(地区):
CA
年份:
2019
代理人:
摘要：
Techniques are provided for determining molecular subtype classifications based on pathology slide images (SIs). A plurality of training SIs is segmented into a plurality of scaled patches. Each scaled patch is converted into a multiscale descriptor using a deep-learning neural network by mapping each of one or more patch representations to a patch-level descriptor and combining the patch-level descriptors. A classifier model is configured and trained to process the multiscale descriptors such that, for each training SI, the classifier model is operable to assign a patch-level molecular subtype classification to each of the scaled patches corresponding to the training SI and determine a Si-level molecular subtype classification based on the patch-level molecular subtype classifications. A molecular subtyping engine is configured to use the trained classifier model to determine a SI-level molecular subtype classification for a test SI.
