Detecting brain tumor in pathological slides using hyperspectral imaging.

Hyperspectral imaging (HSI) is an emerging technology for medical diagnosis. This research work presents a proof-of-concept on the use of HSI data to automatically detect human brain tumor tissue in pathological slides. The samples, consisting of hyperspectral cubes collected from 400 nm to 1000 nm, were acquired from ten different patients diagnosed with high-grade glioma. Based on the diagnosis provided by pathologists, a spectral library of normal and tumor tissues was created and processed using three different supervised classification algorithms. Results prove that HSI is a suitable technique to automatically detect high-grade tumors from pathological slides.

• Publication year

  2018

• Venue

  Biomedical Optics Express

• Publication date

  2018-02-01

• Fields of study

  Medicine, Engineering

• Identifiers
  DOI 10.1364/BOE.9.000818PMID 29552415PMCID PMC5854081
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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