A Comparison of 3D and 2D U-Net Convolutional Networks for Segmentation in FIB-SEM Imagery
Source abstract
Abstract
Journal Article A Comparison of 3D and 2D U-Net Convolutional Networks for Segmentation in FIB-SEM Imagery Get access Rengarajan Pelapur Rengarajan Pelapur Thermo Fisher Scientific, Materials and Structural Analysis, Houston, TX, USA Corresponding author: rengarajan.pelapur@thermofisher.com Search for other works by this author on: Oxford Academic Google Scholar Microscopy and Microanalysis, Volume 28, Issue S1, 1 August 2022, Pages 3064–3066, https://doi.org/10.1017/S1431927622011436 Published: 01 August 2022
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electron and X-Ray Spectroscopy Techniques · Machine Learning in Materials Science · Advanced Electron Microscopy Techniques and Applications
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Affiliations
Materials and Structural Analysis Thermo Fisher Scientific, , Houston, TX, USA
References (6)
Show source-provided references
1. Çiçek · 2016
2. Ronneberger · 2015
3. Lucchi
4. Pelapur
5. Pelapur
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