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Quantitative texture analysis and classification of two photon microscopy images of prostate cancer tissue

  • Kausalya Neelavara Makkithaya
  • , Gagan Raju
  • , Guan Yu Zhuo
  • , Nirmal Mazumder*
  • *Corresponding author for this work

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

Abstract

This study employs two-photon microscopy to investigate subtle differences between healthy and cancerous prostate tissue. Analysis of textural features from two-photon microscopy images demonstrates a robust, method to enhance the accuracy of prostate cancer diagnosis.

Original languageEnglish
Title of host publicationFrontiers in Optics, FiO 2025 in Proceedings Frontiers in Optics + Laser Science 2025 ,FiO, LS - Part of Frontiers in Optics + Laser Science 2025
PublisherOptical Society of America
ISBN (Electronic)9781957171524
DOIs
Publication statusPublished - 2025
Event2025 Frontiers in Optics, FiO 2025 - Denver, United States
Duration: 26-10-202530-10-2025

Publication series

NameFrontiers in Optics, FiO 2025 in Proceedings Frontiers in Optics + Laser Science 2025 ,FiO, LS - Part of Frontiers in Optics + Laser Science 2025

Conference

Conference2025 Frontiers in Optics, FiO 2025
Country/TerritoryUnited States
CityDenver
Period26-10-2530-10-25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

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

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