Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation

  • He Ma

Research output: Chapter in Book/Conference proceeding › Conference contribution

Original languageEnglish
Title of host publicationQuantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation
Pages6255 - 6258
Publication statusPublished - 27 Jul 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

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