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Benchmarking artificial intelligence methods for end-to-end computational pathology

2021-08-10

Abstract excerpt

Artificial intelligence (AI) can extract subtle visual information from digitized histopathology slides and yield scientific insight on genotype-phenotype interactions as well as clinically actionable recommendations. Classical weakly supervised pipelines use an end-to-end approach with residual neural networks (ResNets), modern convolutional neural networks such as EfficientNet, or non-convolutional architectures...

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Literature Corpus work: 134ccf4b-937e-5683-a317-e28dae2e57c0
DOI: 10.1101/2021.08.09.455633

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