A convolutional neural network for common coordinate registration of high-resolution histology images
Image registration
Transfer of learning
DOI:
10.1093/bioinformatics/btab447
Publication Date:
2021-06-14T19:12:33Z
AUTHORS (3)
ABSTRACT
Registration of histology images from multiple sources is a pressing problem in large-scale studies spatial -omics data. Researchers often perform 'common coordinate registration', akin to segmentation, which samples are partitioned based on tissue type allow for quantitative comparison similar regions across samples. Accuracy such registration requires both high image resolution and global awareness, mark difficult balancing act contemporary deep learning architectures.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (31)
CITATIONS (6)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....