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

Debdoot Sheet; Satarupa Banerjee; Sri Phani Krishna Karri; Swarnendu Bag; Anji Anura; Amita Giri; Ranjan Rashmi Paul; Mousumi Pal; Badal C. Sarkar; Ranjan Ghosh; Amin Katouzian; Nassir Navab; Ajoy K. Ray

doi:10.1109/isbi.2014.6868137

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

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

Informatics 16 - Chair of Computer Aided Medical Procedures

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Oral cancer evolves from different premalignant conditions and the key to save lives is through diagnosis of early symptoms. The conventional practice of post biopsy histopathol-ogy reporting is dependent on specificity of sampling site and optical coherence tomography (OCT) imaging is clinically used for guidance. Clinicians infer the tissue constitution by interpreting intensity images and are challenged by interand intra-observer variability. In this paper we propose transfer learning of tissue specific photon interaction statistical physics in swept-source OCT for characterizing the oral mu-cosa with the aim of reducing this reporting variability. The source task models statistical physics of ballistic and near-ballistic photons and its intensity attenuation and target task learns the parameters obtained by solving the source task to identify co-located heterogeneity of tissues. Performance is compared with conventional histopathology of healthy, premalignant and malignant oral lesions supporting its use towards in vivo histology of the oral mucosa for pre-biopsy screening.

Original language	English
Title of host publication	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1389-1392
Number of pages	4
ISBN (Electronic)	9781467319591
DOIs	https://doi.org/10.1109/isbi.2014.6868137
State	Published - 29 Jul 2014
Event	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China Duration: 29 Apr 2014 → 2 May 2014

Publication series

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

Conference

Conference	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Country/Territory	China
City	Beijing
Period	29/04/14 → 2/05/14

Keywords

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

UN SDGs

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

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10.1109/isbi.2014.6868137

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Sheet, D., Banerjee, S., Karri, S. P. K., Bag, S., Anura, A., Giri, A., Paul, R. R., Pal, M., Sarkar, B. C., Ghosh, R., Katouzian, A., Navab, N., & Ray, A. K. (2014). Transfer learning of tissue photon interaction in optical coherence tomography towardsin vivo histology of the oral mucosa. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 1389-1392). Article 6868137 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/isbi.2014.6868137

Sheet, Debdoot ; Banerjee, Satarupa ; Karri, Sri Phani Krishna et al. / 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. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 1389-1392 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

@inproceedings{bb388baa5d6e42ea86e57e970ee74796,

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

abstract = "Oral cancer evolves from different premalignant conditions and the key to save lives is through diagnosis of early symptoms. The conventional practice of post biopsy histopathol-ogy reporting is dependent on specificity of sampling site and optical coherence tomography (OCT) imaging is clinically used for guidance. Clinicians infer the tissue constitution by interpreting intensity images and are challenged by interand intra-observer variability. In this paper we propose transfer learning of tissue specific photon interaction statistical physics in swept-source OCT for characterizing the oral mu-cosa with the aim of reducing this reporting variability. The source task models statistical physics of ballistic and near-ballistic photons and its intensity attenuation and target task learns the parameters obtained by solving the source task to identify co-located heterogeneity of tissues. Performance is compared with conventional histopathology of healthy, premalignant and malignant oral lesions supporting its use towards in vivo histology of the oral mucosa for pre-biopsy screening.",

keywords = "In vivo histology, Optical coherence tomography, Oral cancer, Tissue characterization, Transfer learning",

author = "Debdoot Sheet and Satarupa Banerjee and Karri, {Sri Phani Krishna} and Swarnendu Bag and Anji Anura and Amita Giri and Paul, {Ranjan Rashmi} and Mousumi Pal and Sarkar, {Badal C.} and Ranjan Ghosh and Amin Katouzian and Nassir Navab and Ray, {Ajoy K.}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 ; Conference date: 29-04-2014 Through 02-05-2014",

year = "2014",

month = jul,

day = "29",

doi = "10.1109/isbi.2014.6868137",

language = "English",

series = "2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1389--1392",

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Sheet, D, Banerjee, S, Karri, SPK, Bag, S, Anura, A, Giri, A, Paul, RR, Pal, M, Sarkar, BC, Ghosh, R, Katouzian, A, Navab, N & Ray, AK 2014, Transfer learning of tissue photon interaction in optical coherence tomography towardsin vivo histology of the oral mucosa. in 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014., 6868137, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Institute of Electrical and Electronics Engineers Inc., pp. 1389-1392, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Beijing, China, 29/04/14. https://doi.org/10.1109/isbi.2014.6868137

Transfer learning of tissue photon interaction in optical coherence tomography towardsin vivo histology of the oral mucosa. / Sheet, Debdoot; Banerjee, Satarupa; Karri, Sri Phani Krishna et al.
2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1389-1392 6868137 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Banerjee, Satarupa

AU - Karri, Sri Phani Krishna

AU - Bag, Swarnendu

AU - Anura, Anji

AU - Giri, Amita

AU - Paul, Ranjan Rashmi

AU - Pal, Mousumi

AU - Sarkar, Badal C.

AU - Ghosh, Ranjan

AU - Katouzian, Amin

AU - Navab, Nassir

AU - Ray, Ajoy K.

PY - 2014/7/29

Y1 - 2014/7/29

N2 - Oral cancer evolves from different premalignant conditions and the key to save lives is through diagnosis of early symptoms. The conventional practice of post biopsy histopathol-ogy reporting is dependent on specificity of sampling site and optical coherence tomography (OCT) imaging is clinically used for guidance. Clinicians infer the tissue constitution by interpreting intensity images and are challenged by interand intra-observer variability. In this paper we propose transfer learning of tissue specific photon interaction statistical physics in swept-source OCT for characterizing the oral mu-cosa with the aim of reducing this reporting variability. The source task models statistical physics of ballistic and near-ballistic photons and its intensity attenuation and target task learns the parameters obtained by solving the source task to identify co-located heterogeneity of tissues. Performance is compared with conventional histopathology of healthy, premalignant and malignant oral lesions supporting its use towards in vivo histology of the oral mucosa for pre-biopsy screening.

AB - Oral cancer evolves from different premalignant conditions and the key to save lives is through diagnosis of early symptoms. The conventional practice of post biopsy histopathol-ogy reporting is dependent on specificity of sampling site and optical coherence tomography (OCT) imaging is clinically used for guidance. Clinicians infer the tissue constitution by interpreting intensity images and are challenged by interand intra-observer variability. In this paper we propose transfer learning of tissue specific photon interaction statistical physics in swept-source OCT for characterizing the oral mu-cosa with the aim of reducing this reporting variability. The source task models statistical physics of ballistic and near-ballistic photons and its intensity attenuation and target task learns the parameters obtained by solving the source task to identify co-located heterogeneity of tissues. Performance is compared with conventional histopathology of healthy, premalignant and malignant oral lesions supporting its use towards in vivo histology of the oral mucosa for pre-biopsy screening.

KW - In vivo histology

KW - Optical coherence tomography

KW - Oral cancer

KW - Tissue characterization

KW - Transfer learning

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M3 - Conference contribution

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T3 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

SP - 1389

EP - 1392

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Y2 - 29 April 2014 through 2 May 2014

ER -

Sheet D, Banerjee S, Karri SPK, Bag S, Anura A, Giri A et al. Transfer learning of tissue photon interaction in optical coherence tomography towardsin vivo histology of the oral mucosa. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 1389-1392. 6868137. (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). doi: 10.1109/isbi.2014.6868137

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

Abstract

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Keywords

UN SDGs

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