Transfer learning of tissue photon interaction in optical coherence tomography towardsin vivo histology of the oral mucosa

2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Volumn , Issue , 2014, Pages 1389-1392

  Sheet, Debdoot ^a,b   Banerjee, Satarupa ^a   Karri, Sri Phani Krishna ^a   Bag, Swarnendu ^a   Anura, Anji ^a   Giri, Amita ^c   Paul, Ranjan Rashmi ^d   Pal, Mousumi ^d   Sarkar, Badal C ^e   Ghosh, Ranjan ^e   Katouzian, Amin ^b   Navab, Nassir ^b   Ray, Ajoy K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^c NORTH BENGAL MEDICAL COLLEGE   (India)

^d Guru Nanak Institute of Dental Sciences and Research   (India)

^e Bengal Medical College   (India)

Author keywords

In vivo histology; Optical coherence tomography; Oral cancer; Tissue characterization; Transfer learning

Indexed keywords

BALLISTICS; BIOPSY; DISEASES; HISTOLOGY; MEDICAL IMAGING; OPTICAL TOMOGRAPHY; PHOTONS; STATISTICAL PHYSICS; TOMOGRAPHY;

IN-VIVO; INTENSITY IMAGES; INTRA-OBSERVER VARIABILITY; ORAL CANCER; PHOTON INTERACTIONS; TISSUE CHARACTERIZATION; TISSUE SPECIFICS; TRANSFER LEARNING;

TISSUE;

EID: 84927950533     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/isbi.2014.6868137     Document Type: Conference Paper

References (14)

1. S. Warnakulasuriya, N. Johnson, and I. Van der Waal, "Nomenclature and classification of potentially malignant disorders of the oral mucosa," J. Oral Path., Med., Vol. 36, no. 10, pp. 575-580, 2007.
2. R. Rajendran, Shafer's Textbook of Oral Pathology, Elsevier, 2009.
3. J. Rebol, "Volume determination of oral cavity tumors by 3-dimensional ultrasonography," J. Oral, Maxillofacial Surgery, Vol. 66, no. 11, pp. 2296-2301, 2008.
4. W. Jung, J. Zhang, J. Chung, P. Wilder-Smith, M. Brenner, J. S. Nelson, and Z. Chen, "Advances in oral cancer detection using optical coherence tomography," IEEE J. Sel. Topics, Quantum Electronics, Vol. 11, no. 4, pp. 811-817, 2005.
5. G. J. Ughi, T. Adriaenssens, P. Sinnaeve, W. Desmet, and J. Dhooge, "Automated tissue characterization of in vivo atherosclerotic plaques by intravascular optical coherence tomography images," Biomed. Opt. Exp., Vol. 4, no. 7, pp. 1014-1030, 2013.
6. G. van Soest, E. Regar, S. Koljenoviä, G. L. J. H. van Leenders, N. Gonzalo, S. van Noorden, T. Okamura, B. E. Bouma, G. J. Tearney, and J. W. Oosterhuis, "Atherosclerotic tissue characterization in vivo by optical coherence tomography attenuation imaging," J. Biomed. Optics, Vol. 15, no. 1, pp. 011105-011105, 2010.
7. G. J. Ughi, K. Steigerwald, T. Adriaenssens, W. Desmet, G. Guagliumi, M. Joner, and J. Dhooge, "Automatic characterization of neointimal tissue by intravascular optical coherence tomography," J. Biomed. Optics, Vol. 19, no. 2, pp. 021104-021104, 2014.
8. D. Sheet, A. Chaudhary, S. P. K. Karri, D. Das, A. Katouzian, P. Banerjee, N. Navab, J. Chatterjee, and A. K. Ray, "In situ histology of mice skin through transfer learning of tissue energy interaction in optical coherence tomography," J. Biomed. Optics, Vol. 18, no. 9, pp. 090503-090503, 2013.
9. M. Bashkansky and J. Reintjes, "Statistics and reduction of speckle in optical coherence tomography," Optics Letters, Vol. 25, no. 8, pp. 545-547, 2000.
10. D. Kaplan and Q. Ma, "On the statistical characteristics of log-compressed rayleigh signals: theoretical formulation and experimental results," in Proc. IEEE Ultrasonics Symp., 1993, pp. 961-964.
11. S. J. Pan and Q. Yang, "A survey on transfer learning," IEEE Trans. Knowledge, Data Engg., Vol. 22, no. 10, pp. 1345-1359, Oct. 2010.
12. A. F. Fercher, W. Drexler, C. K. Hitzenberger, and T. Lasser, "Optical coherence tomography-principles and applications," Rep., Prog., Phys., Vol. 66, no. 2, pp. 239, 2003.
13. L. Breiman, "Random forests," Machine Learning, Vol. 45, no. 1, pp. 5-32, 2001.
14. J.D. Bancroft and M. Gamble, Theory and Practice of Histo-logical Techniques, Churchill Livingstone Elsevier, 2008.