General image classifier for fluorescence microscopy using transfer learning
Modern microscopy and automation technologies enable experiments which can produce millions of images each day. The valuable information is often sparse, and requires clever methods to find useful data. In this thesis a general image classification tool for fluorescence microscopy images was develop...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Avdelningen för visuell information och interaktion
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388633 |