By the same authors

Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours. / Wood, Alexander; Soroushmehr, S M Reza; Farzaneh, Negar; Fessell, David; Ward, Kevin R; Gryak, Jonathan; Kahrobaei, Delaram; Na, Kayvan.

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Vol. 2018 IEEE, 2018. p. 53-56 (Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Wood, A, Soroushmehr, SMR, Farzaneh, N, Fessell, D, Ward, KR, Gryak, J, Kahrobaei, D & Na, K 2018, Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours. in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). vol. 2018, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, IEEE, pp. 53-56. https://doi.org/10.1109/EMBC.2018.8512182

APA

Wood, A., Soroushmehr, S. M. R., Farzaneh, N., Fessell, D., Ward, K. R., Gryak, J., ... Na, K. (2018). Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Vol. 2018, pp. 53-56). (Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference). IEEE. https://doi.org/10.1109/EMBC.2018.8512182

Vancouver

Wood A, Soroushmehr SMR, Farzaneh N, Fessell D, Ward KR, Gryak J et al. Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Vol. 2018. IEEE. 2018. p. 53-56. (Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference). https://doi.org/10.1109/EMBC.2018.8512182

Author

Wood, Alexander ; Soroushmehr, S M Reza ; Farzaneh, Negar ; Fessell, David ; Ward, Kevin R ; Gryak, Jonathan ; Kahrobaei, Delaram ; Na, Kayvan. / Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Vol. 2018 IEEE, 2018. pp. 53-56 (Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference).

Bibtex - Download

@inproceedings{4c22ffe9afbb4688a93a280cbd5de6c7,
title = "Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours",
abstract = "Automated segmentation of the spleen in CT volumes is difficult due to variations in size, shape, and position of the spleen within the abdominal cavity as well as similarity of intensity values among organs in the abdominal cavity. In this paper we present a method for automated localization and segmentation of the spleen within axial abdominal CT volumes using trained classification models, active contours, anatomical information, and adaptive features. The results show an average Dice score of 0.873 on patients experiencing various chest, abdominal, and pelvic traumas taken at different contrast phases.",
author = "Alexander Wood and Soroushmehr, {S M Reza} and Negar Farzaneh and David Fessell and Ward, {Kevin R} and Jonathan Gryak and Delaram Kahrobaei and Kayvan Na",
year = "2018",
month = "7",
doi = "10.1109/EMBC.2018.8512182",
language = "English",
volume = "2018",
series = "Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference",
publisher = "IEEE",
pages = "53--56",
booktitle = "2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours

AU - Wood, Alexander

AU - Soroushmehr, S M Reza

AU - Farzaneh, Negar

AU - Fessell, David

AU - Ward, Kevin R

AU - Gryak, Jonathan

AU - Kahrobaei, Delaram

AU - Na, Kayvan

PY - 2018/7

Y1 - 2018/7

N2 - Automated segmentation of the spleen in CT volumes is difficult due to variations in size, shape, and position of the spleen within the abdominal cavity as well as similarity of intensity values among organs in the abdominal cavity. In this paper we present a method for automated localization and segmentation of the spleen within axial abdominal CT volumes using trained classification models, active contours, anatomical information, and adaptive features. The results show an average Dice score of 0.873 on patients experiencing various chest, abdominal, and pelvic traumas taken at different contrast phases.

AB - Automated segmentation of the spleen in CT volumes is difficult due to variations in size, shape, and position of the spleen within the abdominal cavity as well as similarity of intensity values among organs in the abdominal cavity. In this paper we present a method for automated localization and segmentation of the spleen within axial abdominal CT volumes using trained classification models, active contours, anatomical information, and adaptive features. The results show an average Dice score of 0.873 on patients experiencing various chest, abdominal, and pelvic traumas taken at different contrast phases.

U2 - 10.1109/EMBC.2018.8512182

DO - 10.1109/EMBC.2018.8512182

M3 - Conference contribution

VL - 2018

T3 - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

SP - 53

EP - 56

BT - 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

PB - IEEE

ER -