Article

Generative modeling of histology tissue reduces human annotation effort for segmentation model development

2021-10-16

Abstract excerpt

<h4>ABSTRACT</h4> Segmentation of histology tissue whole side images is an important step for tissue analysis. Given enough annotated training data modern neural networks are capable accurate reproducible segmentation, however, the annotation of training datasets is time consuming. Techniques such as human in the loop annotation attempt to reduce this annotation burden, but still require a large amount of initial...

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Literature Corpus work: 876a1a5c-f048-5b50-a579-b12699f60659
DOI: 10.1101/2021.10.15.464564

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