Texture analysis and classification in coherent anti-Stokes Raman scattering (CARS) microscopy images for automated detection of skin cancer

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
Fisseha Bekele LegesseJürgen Popp

Abstract

Coherent anti-Stokes Raman scattering (CARS) microscopy is a powerful tool for fast label-free tissue imaging, which is promising for early medical diagnostics. To facilitate the diagnostic process, automatic image analysis algorithms, which are capable of extracting relevant features from the image content, are needed. In this contribution we perform an automated classification of healthy and tumor areas in CARS images of basal cell carcinoma (BCC) skin samples. The classification is based on extraction of texture features from image regions and subsequent classification of these regions into healthy and cancerous with a perceptron algorithm. The developed approach is capable of an accurate classification of texture types with high sensitivity and specificity, which is an important step towards an automated tumor detection procedure.

References

Nov 24, 1998·Journal of Cutaneous Pathology·S M SwetterB M Egbert
Jun 24, 2000·JAMA : the Journal of the American Medical Association·H G WelchS Woloshin
Jan 13, 2001·Artificial Intelligence in Medicine·L M Fletcher-HeathF R Murtagh
Aug 8, 2002·The Journal of Investigative Dermatology·Annieke NijssenGerwin J Puppels
Jul 19, 2003·Radiology·Francois ChabatDavid M Hansell
Nov 3, 2005·Proceedings of the National Academy of Sciences of the United States of America·Conor L EvansX Sunney Xie
Feb 1, 2006·Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc·A Neil Crowson
Jul 10, 2007·Acta Neuropathologica·David N LouisPaul Kleihues
Oct 4, 2007·Applied Spectroscopy·Ji-Xin Cheng
Jan 17, 2008·The Journal of Physical Chemistry. B·Tobias MeyerJürgen Popp
Apr 4, 2009·Journal of Biophotonics·R CicchiF S Pavone
Apr 4, 2009·Journal of Biophotonics·Christoph KrafftValter Sergo
May 29, 2009·The Analyst·Christoph KrafftJürgen Popp
Aug 6, 2007·Optics Express·R CicchiF S Pavone
Sep 19, 2009·Vibrational Spectroscopy·Han-Wei WangJi-Xin Cheng
Apr 10, 2010·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Efthyvoulos C KyriacouAndrew Nicolaides
May 29, 2010·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Nadine VoglerJürgen Popp
Jul 22, 2010·Journal of Biophotonics·Nadine VoglerJürgen Popp
Jan 1, 2009·IEEE Reviews in Biomedical Engineering·Metin N GurcanB Yener
Dec 15, 2010·Sensors·Andrew Downes, Alistair Elfick
Feb 16, 2011·Nature Chemical Biology·John Paul PezackiRagunath Singaravelu
Feb 15, 2012·Journal of Biophotonics·Vladimir A HovhannisyanChen-Yuan Dong
Mar 6, 2012·Journal of Biophotonics·Natalie Laura GarrettJulian Moger
Mar 31, 2012·Journal of Biophotonics·Shuo TangMyeong Jin Ju
Jul 14, 2012·Journal of Biophotonics·Riccardo CicchiFrancesco Saverio Pavone
Jul 20, 2012·Journal of Biophotonics·Anna MedyukhinaJürgen Popp
Aug 10, 2013·The British Journal of Dermatology·S HeukeJ Popp
Oct 3, 2013·Applied Optics·Anna MedyukhinaJürgen Popp

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Citations

Oct 1, 2019·Biomedical Optics Express·Maximilian BrinkmannCarsten Fallnich
Nov 5, 2021·Chemical Communications : Chem Comm·Sian Sloan-DennisonKaren Faulds

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