A Novel Approach to Tongue Standardization and Feature Extraction

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

A Novel Approach to Tongue Standardization and Feature Extraction. / Wang, Chenhao; Cattaneo, Camilla; Liu, Jing; Bredie, Wender; Pagliarini, Ella; Sporring, Jon.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Proceedings. ed. / Anne L. Martel; Purang Abolmaesumi; Danail Stoyanov; Diana Mateus; Maria A. Zuluaga; S. Kevin Zhou; Daniel Racoceanu; Leo Joskowicz. Springer, 2020. p. 36-45 (Lecture Notes in Computer Science, Vol. 12265 LNCS).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Wang, C, Cattaneo, C, Liu, J, Bredie, W, Pagliarini, E & Sporring, J 2020, A Novel Approach to Tongue Standardization and Feature Extraction. in AL Martel, P Abolmaesumi, D Stoyanov, D Mateus, MA Zuluaga, SK Zhou, D Racoceanu & L Joskowicz (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Proceedings. Springer, Lecture Notes in Computer Science, vol. 12265 LNCS, pp. 36-45, 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020, Lima, Peru, 04/10/2020. https://doi.org/10.1007/978-3-030-59722-1_4

APA

Wang, C., Cattaneo, C., Liu, J., Bredie, W., Pagliarini, E., & Sporring, J. (2020). A Novel Approach to Tongue Standardization and Feature Extraction. In A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, D. Racoceanu, & L. Joskowicz (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Proceedings (pp. 36-45). Springer. Lecture Notes in Computer Science Vol. 12265 LNCS https://doi.org/10.1007/978-3-030-59722-1_4

Vancouver

Wang C, Cattaneo C, Liu J, Bredie W, Pagliarini E, Sporring J. A Novel Approach to Tongue Standardization and Feature Extraction. In Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L, editors, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Proceedings. Springer. 2020. p. 36-45. (Lecture Notes in Computer Science, Vol. 12265 LNCS). https://doi.org/10.1007/978-3-030-59722-1_4

Author

Wang, Chenhao ; Cattaneo, Camilla ; Liu, Jing ; Bredie, Wender ; Pagliarini, Ella ; Sporring, Jon. / A Novel Approach to Tongue Standardization and Feature Extraction. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Proceedings. editor / Anne L. Martel ; Purang Abolmaesumi ; Danail Stoyanov ; Diana Mateus ; Maria A. Zuluaga ; S. Kevin Zhou ; Daniel Racoceanu ; Leo Joskowicz. Springer, 2020. pp. 36-45 (Lecture Notes in Computer Science, Vol. 12265 LNCS).

Bibtex

@inproceedings{53f18696caee4b608ddb7f998447b8e9,
title = "A Novel Approach to Tongue Standardization and Feature Extraction",
abstract = "Fungiform papillae are large protrusions on the human tongue and contain many taste-buds. Most are found on the tip and the sides of the tongue, and their distribution varies from person to person. In this paper, we introduce a tongue-based coordinate system to investigate the density and other features of fungiform papillae on the surface of the tongue. A traditional method for estimating the density of fungiform papillae is to count the papillae in either a manually selected area or a predefined grid of areas on the tongue. However, depending on how a person presents his or her tongue in a specific image (such as narrowing, widening, and bending), this can cause visual variations in both the papillae{\textquoteright}s apparent positions and apparent shapes, which in turn also affects the counts obtained within an area. By transforming the individual tongues into a standardized tongue, our tongue coordinate system minimizes these variations more effectively than current alignment-based methods. We further hypothesize an underlying fungiform papillae distribution for each tongue, which we estimate and use to perform statistical analysis on the different tongue categories. For this, we consider a cohort of 152 persons and the following variables: gender, ethnicity, ability to taste 6-n-propylthiouracil, and texture preference. Our results indicate possible new relations between the distribution of fungiform papillae and some of the aforementioned variables.",
author = "Chenhao Wang and Camilla Cattaneo and Jing Liu and Wender Bredie and Ella Pagliarini and Jon Sporring",
year = "2020",
doi = "10.1007/978-3-030-59722-1_4",
language = "English",
isbn = "978-3-030-59721-4",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "36--45",
editor = "Martel, {Anne L.} and Purang Abolmaesumi and Danail Stoyanov and Diana Mateus and Zuluaga, {Maria A.} and Zhou, {S. Kevin} and Daniel Racoceanu and Leo Joskowicz",
booktitle = "Medical Image Computing and Computer Assisted Intervention – MICCAI 2020",
address = "Switzerland",
note = "23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020 ; Conference date: 04-10-2020 Through 08-10-2020",

}

RIS

TY - GEN

T1 - A Novel Approach to Tongue Standardization and Feature Extraction

AU - Wang, Chenhao

AU - Cattaneo, Camilla

AU - Liu, Jing

AU - Bredie, Wender

AU - Pagliarini, Ella

AU - Sporring, Jon

PY - 2020

Y1 - 2020

N2 - Fungiform papillae are large protrusions on the human tongue and contain many taste-buds. Most are found on the tip and the sides of the tongue, and their distribution varies from person to person. In this paper, we introduce a tongue-based coordinate system to investigate the density and other features of fungiform papillae on the surface of the tongue. A traditional method for estimating the density of fungiform papillae is to count the papillae in either a manually selected area or a predefined grid of areas on the tongue. However, depending on how a person presents his or her tongue in a specific image (such as narrowing, widening, and bending), this can cause visual variations in both the papillae’s apparent positions and apparent shapes, which in turn also affects the counts obtained within an area. By transforming the individual tongues into a standardized tongue, our tongue coordinate system minimizes these variations more effectively than current alignment-based methods. We further hypothesize an underlying fungiform papillae distribution for each tongue, which we estimate and use to perform statistical analysis on the different tongue categories. For this, we consider a cohort of 152 persons and the following variables: gender, ethnicity, ability to taste 6-n-propylthiouracil, and texture preference. Our results indicate possible new relations between the distribution of fungiform papillae and some of the aforementioned variables.

AB - Fungiform papillae are large protrusions on the human tongue and contain many taste-buds. Most are found on the tip and the sides of the tongue, and their distribution varies from person to person. In this paper, we introduce a tongue-based coordinate system to investigate the density and other features of fungiform papillae on the surface of the tongue. A traditional method for estimating the density of fungiform papillae is to count the papillae in either a manually selected area or a predefined grid of areas on the tongue. However, depending on how a person presents his or her tongue in a specific image (such as narrowing, widening, and bending), this can cause visual variations in both the papillae’s apparent positions and apparent shapes, which in turn also affects the counts obtained within an area. By transforming the individual tongues into a standardized tongue, our tongue coordinate system minimizes these variations more effectively than current alignment-based methods. We further hypothesize an underlying fungiform papillae distribution for each tongue, which we estimate and use to perform statistical analysis on the different tongue categories. For this, we consider a cohort of 152 persons and the following variables: gender, ethnicity, ability to taste 6-n-propylthiouracil, and texture preference. Our results indicate possible new relations between the distribution of fungiform papillae and some of the aforementioned variables.

U2 - 10.1007/978-3-030-59722-1_4

DO - 10.1007/978-3-030-59722-1_4

M3 - Article in proceedings

SN - 978-3-030-59721-4

T3 - Lecture Notes in Computer Science

SP - 36

EP - 45

BT - Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

A2 - Martel, Anne L.

A2 - Abolmaesumi, Purang

A2 - Stoyanov, Danail

A2 - Mateus, Diana

A2 - Zuluaga, Maria A.

A2 - Zhou, S. Kevin

A2 - Racoceanu, Daniel

A2 - Joskowicz, Leo

PB - Springer

T2 - 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020

Y2 - 4 October 2020 through 8 October 2020

ER -

ID: 249447707