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Few-shot hypercolumn-based mitochondria segmentation in cardiac and outer hair cells in focused ion beam-scanning electron microscopy (FIB-SEM) data
We present a novel AI-based approach to the few-shot automated segmentation of mitochondria in large-scale electron microscopy images. Our framework leverages convolutional features from a pre–trained deep multilayer convolutional neural network, such as VGG-16. We then train a binary gradient boost...
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| 出版年: | Pattern Recognit Lett |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7450765/ https://ncbi.nlm.nih.gov/pubmed/32863491 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patrec.2019.10.031 |
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