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{
"citation": "@article{xia2023Accurate,\n author = {Zeyu Xia and Kan Ma and Sibo Cheng and Thomas Blackburn and Ziling Peng and Kewei Zhu and Weihang Zhang and Dunhui Xiao and Alexander J Knowles and Rossella Arcucci},\n copyright = {CC BY-NC 3.0},\n doi = {10.1039/d3cp00402c},\n issn = {1463-9076},\n journal = {Physical Chemistry Chemical Physics},\n keywords = {},\n language = {English},\n month = {6},\n number = {23},\n pages = {15970--15987},\n pmid = {37265373},\n publisher = {Royal Society of Chemistry (RSC)},\n title = {Accurate Identification and Measurement of the Precipitate Area by Two-Stage Deep Neural Networks in Novel Chromium-Based Alloy},\n url = {https://doi.org/10.1039/d3cp00402c},\n volume = {25},\n year = {2023}\n}\n",
"description": "A comprehensive, two-tiered deep learning approach designed for precise object detection and segmentation in electron microscopy (EM) images.",
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"homepage": "https://github.com/xiazeyu/DT_SegNet",
"license": "CC BY-NC 3.0"
} |