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Hyperspectral image analysis for rapid and accurate discrimination of bacterial infections: A benchmark study

  • Published:2017-09 Issue: Volume:88 Page:60-71
  • ISSN:0010-4825
  • Container-title:Computers in Biology and Medicine
  • language:en
  • Short-container-title:Computers in Biology and Medicine

Author:

Arrigoni Simone,Turra Giovanni,Signoroni Alberto

Funder

Italian Ministry of Education, Universities and Research

Lombardy Region Government

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Specific spectral sub-images for machine learning evaluation of optical differences between carbon ion and X ray radiation effects;Heliyon;2024-08

2. Spectral characterization of intraoperative renal perfusion using hyperspectral imaging and artificial intelligence;Scientific Reports;2024-07-27

3. Classificação de Espécies de Fungos por Imagens Hiperespectrais utilizando Aprendizagem de Máquina;Anais Estendidos do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2024);2024-06-25

4. Bacteria Gram Staining Differentiation Using Hyperspectral Imaging and Machine Learning;2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2023-10-31

5. Hyperspectral Imaging Classification of Fungal Species Using Machine Learning;2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2023-10-31
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