Novel transfer learning schemes based on Siamese networks and synthetic data

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Main Authors: Philip, Kenneweg, Dominik, Stallmann, Barbara, Hammer
Format: Book
Language:English
Published: Springer 2023
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Online Access:https://link.springer.com/article/10.1007/s00521-022-08115-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7341
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spelling oai:localhost:PNK-73412023-03-30T08:10:15Z Novel transfer learning schemes based on Siamese networks and synthetic data Philip, Kenneweg Dominik, Stallmann Barbara, Hammer Transfer learning schemes CHO-K1 suspension growth CC BY Transfer learning schemes based on deep networks which have been trained on huge image corpora offer state-of-the-art technologies in computer vision. Here, supervised and semi-supervised approaches constitute efficient technologies which work well with comparably small data sets. Yet, such applications are currently restricted to application domains where suitable deep network models are readily available. In this contribution, we address an important application area in the domain of biotechnology, the automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation, where data characteristics are very dissimilar to existing domains and trained deep networks cannot easily be adapted by classical transfer learning. 2023-03-30T08:10:15Z 2023-03-30T08:10:15Z 2023 Book https://link.springer.com/article/10.1007/s00521-022-08115-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7341 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Transfer learning schemes
CHO-K1 suspension growth
spellingShingle Transfer learning schemes
CHO-K1 suspension growth
Philip, Kenneweg
Dominik, Stallmann
Barbara, Hammer
Novel transfer learning schemes based on Siamese networks and synthetic data
description CC BY
format Book
author Philip, Kenneweg
Dominik, Stallmann
Barbara, Hammer
author_facet Philip, Kenneweg
Dominik, Stallmann
Barbara, Hammer
author_sort Philip, Kenneweg
title Novel transfer learning schemes based on Siamese networks and synthetic data
title_short Novel transfer learning schemes based on Siamese networks and synthetic data
title_full Novel transfer learning schemes based on Siamese networks and synthetic data
title_fullStr Novel transfer learning schemes based on Siamese networks and synthetic data
title_full_unstemmed Novel transfer learning schemes based on Siamese networks and synthetic data
title_sort novel transfer learning schemes based on siamese networks and synthetic data
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s00521-022-08115-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7341
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score 8.887836