Weighted average ensemble-based semantic segmentation in biological electron microscopy images.
Semantic segmentation of electron microscopy images using deep learning methods is a valuable tool for the detailed analysis of organelles and cell structures. However, these methods require a large amount of labeled ground truth data that is often unavailable. To address this limitation, we present...
| Published in: | Histochemistry & Cell Biology Vol. 158; no. 5; pp. 447 - 463 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Nov2022
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| Online Access: | View this record in EBSCOhost |