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Fluorescence imaging and Raman spectroscopy applied for the accurate diagnosis of breast cancer with deep learning algorithms.
Shang, Lin-Wei; Ma, Dan-Ying; Fu, Juan-Juan; Lu, Yan-Fei; Zhao, Yuan; Xu, Xin-Yu; Yin, Jian-Hua.
Affiliation
  • Shang LW; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
  • Ma DY; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
  • Fu JJ; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
  • Lu YF; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
  • Zhao Y; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
  • Xu XY; Department of Pathology, Jiangsu Cancer Hospital, Nanjing 210009, China.
  • Yin JH; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Biomed Opt Express ; 11(7): 3673-3683, 2020 Jul 01.
Article in En | MEDLINE | ID: mdl-33014559
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Biomed Opt Express Year: 2020 Document type: Article Affiliation country: Country of publication:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Biomed Opt Express Year: 2020 Document type: Article Affiliation country: Country of publication: