In this work we create an image analysis pipeline to segment cells from microscopy image data. A portion of the segmented images are manually curated and this curated data is used to train a Curator network to filter the whole dataset. The curated data is used to train a separate segmentation network to improve the cell segmentation. This technique can be easily applied to different types of microscopy object segmentation.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-332724 |
| Date | January 2017 |
| Creators | Ramnerö, David |
| Publisher | Uppsala universitet, Bildanalys och människa-datorinteraktion |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | UPTEC F, 1401-5757 ; 17054 |
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