Benefit of extending near-infrared wavelength range of diffuse reflectance spectroscopy for colorectal cancer detection using machine learning
Marcelo Saito Nogueira, Siddra Maryam, Michael Amissah, Noel Lynch, Shane Killeen, Michael O’Riordain, Stefan Andersson‐Engels
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.
Topics & Concepts
Diffuse reflectance infrared fourier transformReflectivitySpectroscopyWavelengthColorectal cancerInfraredDiffuse reflectionOpticsInfrared spectroscopyMaterials scienceOptoelectronicsNear-infrared spectroscopyCancerComputer scienceMedicinePhysicsChemistryInternal medicineAstronomyPhotocatalysisBiochemistryQuantum mechanicsCatalysisColorectal Cancer Screening and DetectionInfrared Thermography in MedicineOptical Imaging and Spectroscopy Techniques