Machine learning aided classification of SHG microscopy images of esophageal squamous cell carcinoma progression and high-grade dysplasia

Kausalya Neelavara Makkithaya, Guan Yu Zhuo, Nirmal Mazumder*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Computational analyses such as textural analysis play an important role for the effective study of pathological images, it enables faster analysis and allows image classifications based on many features.

Original languageEnglish
Title of host publicationFrontiers in Optics
Subtitle of host publicationProceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023
PublisherOptical Society of America
ISBN (Electronic)9781957171296
DOIs
Publication statusPublished - 2023
EventFrontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023 - Tacoma, United States
Duration: 09-10-202312-10-2023

Publication series

NameFrontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023

Conference

ConferenceFrontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023
Country/TerritoryUnited States
CityTacoma
Period09-10-2312-10-23

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Space and Planetary Science
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • General Computer Science
  • Instrumentation

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