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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