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c99b72f2d4765142ff22 · Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography

Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography

Limited-angle X-ray tomography reconstruction is an ill-posed inverse problem in general. Especially when the projection angles are limited and the measurements are taken in a photon-limited condition, reconstructions from classical algorithms such as

Официальный источник · 2022-01-20

Полные импортированные сведения карточки
{
  "title_en": "Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2022-01-20",
  "date_original": "January 20, 2022",
  "url": "https://www.nist.gov/publications/advantage-machine-learning-over-maximum-likelihood-limited-angle-low-photon-x-ray",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Zhen Guo, Jungki Song, George Barbastathis, Michael Glinsky, Courtenay Vaughan, Kurt Larson, Bradley Alpert , Zachary H. Levine",
  "abstract_excerpt_en": "Limited-angle X-ray tomography reconstruction is an ill-posed inverse problem in general. Especially when the projection angles are limited and the measurements are taken in a photon-limited condition, reconstructions from classical algorithms such as",
  "id": "c99b72f2d4765142ff22",
  "sources": [
    "NIST Publications"
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  "source_records": [
    {
      "title_en": "Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2022-01-20",
      "date_original": "January 20, 2022",
      "url": "https://www.nist.gov/publications/advantage-machine-learning-over-maximum-likelihood-limited-angle-low-photon-x-ray",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Zhen Guo, Jungki Song, George Barbastathis, Michael Glinsky, Courtenay Vaughan, Kurt Larson, Bradley Alpert , Zachary H. Levine",
      "abstract_excerpt_en": "Limited-angle X-ray tomography reconstruction is an ill-posed inverse problem in general. Especially when the projection angles are limited and the measurements are taken in a photon-limited condition, reconstructions from classical algorithms such as"
    }
  ],
  "translation_state": "none"
}