@misc{indiciae2c4f590a530c,
  title = {A Machine Learning Approach to Quantitative Analysis of Enamel Microstructure from Scanning Electron Microscopy Images},
  author = {Marsico, Carli [Department of Materials Science and Engineering University of Washington Box 352120 Seattle 98195 WA USA, Materials Science and Engineering Department Idaho National Laboratory Idaho Falls 98195 ID USA] and Renteria, Cameron [Department of Materials Science and Engineering University of Washington Box 352120 Seattle 98195 WA USA, Department of Oral Health Sciences School of Dentistry University of Washington Seattle 98195 WA USA] and Grimm, Jack R. [Department of Materials Science and Engineering University of Washington Box 352120 Seattle 98195 WA USA] (ORCID:0000000172481761) and Fernandez‐Arteaga, Juliana [Science and Humanities Faculty Institución Universitaria Digital de Antioquia Medellín 050010 Colombia] and Guillen, Donna [Materials Science and Engineering Department Idaho National Laboratory Idaho Falls 98195 ID USA] and Arola, Dwayne [Department of Materials Science and Engineering University of Washington Box 352120 Seattle 98195 WA USA, Department of Oral Health Sciences School of Dentistry University of Washington Seattle 98195 WA USA, Department of Mechanical Engineering University of Washington Seattle 98195 WA USA, Department of Restorative Dentistry School of Dentistry University of Washington Seattle 98195 WA USA] (ORCID:0000000191402758)},
  year = {2024},
  doi = {10.1002/sstr.202400510},
  url = {https://www.osti.gov/biblio/2483924},
  note = {Source identifier: 2483924}
}