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Article

Statistical Distortion of Supervised Learning Predictions in Optical Microscopy Induced by Image Compression

2021-10-15

Abstract excerpt

The growth of data throughput in optical microscopy has triggered the extensive use of supervised learning (SL) models on compressed datasets for automated analysis. Investigating the effects of image compression on SL predictions is therefore pivotal to assess their reliability, especially for clinical use.We quantify the statistical distortions induced by compression through the comparison of predictions on comp...

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Literature Corpus work
0651ced3-46f6-5f88-a931-2e16f53a584e
DOI
10.21203/rs.3.rs-956884/v1
Open publication

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Statistical Distortion of Supervised Learning Predictions in Optical Microscopy Induced by Image CompressionDOI 10.21203/rs.3.rs-956884/v1
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