Article

Transferability of Deep Learning Models for Focus Quality Assessment in Digital Pathology

2021-12-15

Abstract excerpt

Out-of-focus sections of whole slide images are a significant source of false positives and other systematic errors in clinical diagnoses. As a result, focus quality assessment (FQA) methods must be able to quickly and accurately differentiate between focus levels in a scan. Recently, deep learning methods using convolutional neural networks (CNNs) have been adopted for FQA. However, the biggest obstacles impeding...

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Literature Corpus work: 5846f4ff-82fe-579a-81bb-d4b507d55770
DOI: 10.21203/rs.3.rs-1120682/v1

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