Benefit of extending near-infrared wavelength range of diffuse reflectance spectroscopy for colorectal cancer detection using machine learning

Research output: Contribution to journalArticlepeer-review

Abstract

Machine learning models can detect colorectal cancer with 93.5% sensitivity and 94.0% specificity based on diffuse reflectance spectroscopy (DRS) of superficial tissues. Extended DRS wavelength ranges improve differentiation between cancer and mucosa.

Original languageEnglish
Article numberEW4A.16
JournalOptics InfoBase Conference Papers
Publication statusPublished - 2021
Event2021 European Conferences on Biomedical Optics, ECBO 2021 - Virtual, Online, Germany
Duration: 20 Jun 202124 Jun 2021

Fingerprint

Dive into the research topics of 'Benefit of extending near-infrared wavelength range of diffuse reflectance spectroscopy for colorectal cancer detection using machine learning'. Together they form a unique fingerprint.

Cite this