Article

Generalising from Conventional Pipelines: A Case Study in Deep Learning-Based for High-Throughput Screening

2021-10-29

Abstract excerpt

The study of complex diseases relies on large amounts of data to build models toward precision medicine. Such data acquisition is feasible in the context of high-throughput screening, in which the quality of the results relies on the accuracy of the image analysis. Although state-of-the-art solutions for image segmentation employ deep learning approaches, the high cost of manually generating ground truth labels fo...

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Literature Corpus work: f0d248e0-4ed3-5a1c-8205-c789c14a9d21
DOI: 10.21203/rs.3.rs-991404/v1

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