Abstract

Narrow-band imaging (NBI) bronchoscopy offers enhanced visualization of microvascular structures in the lung's epithelium (airway walls). Recent studies suggest that such vessels are helpful in predicting the invasiveness of bronchial lesions. In particular, Shibuya characterized pathological features of lesions and studied their relationship with specific histological stages of lung cancer. We propose a method for identifying these vascular patterns using a small expert-labeled dataset. Our approach is based on a few-shot learning method using a Siamese network to learn and distinguish pathological features of the bronchial vasculature. We achieved better intra-class clustering and inter-class separation in the embedding space compared to a baseline CNN classifier. Further, a 25% increase in the overall accuracy was obtained during testing.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2023
Subtitle of host publicationBiomedical Applications in Molecular, Structural, and Functional Imaging
EditorsBarjor S. Gimi, Andrzej Krol
PublisherSPIE
ISBN (Electronic)9781510660410
DOIs
StatePublished - 2023
EventMedical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging - San Diego, United States
Duration: Feb 19 2023Feb 22 2023

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume12468
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging
Country/TerritoryUnited States
CitySan Diego
Period2/19/232/22/23

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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