Stanislav Nikolov,Samuel Blackwell,Jeffrey De Fauw,Bernardino Romera-Paredes,Clemens Meyer,Harry Askham,Cian Hughes,Trevor Back,Joseph R. Ledsam,Olaf Ronneberger
申请号：
US16565384
公开号：
US20200082534A1
申请日:
2019.09.09
申请国别(地区):
US
年份:
2020
代理人:
摘要：
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for segmenting a medical image. In one aspect, a method comprises: receiving a medical image that is captured using a medical imaging modality and that depicts a region of tissue in a body； and processing the medical image using a segmentation neural network to generate a segmentation output, wherein the segmentation neural network comprises a sequence of multiple encoder blocks, wherein: each encoder block is a residual neural network block comprising one or more two-dimensional convolutional neural network layers, one or more three-dimensional convolutional neural network layers, or both, and each encoder block is configured to process a respective encoder block input to generate a respective encoder block output wherein a spatial resolution of the encoder block output is lower than a spatial resolution of the encoder block input.
