Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Article
Ali, S., Dmitrieva, M., Ghatwary, N., Bano, S., Polat, G., Temizel, A., Krenzer, A., Hekalo, A., Guo, Y., Matuszewski, B., Gridach, M., Voiculescu, I., Yoganand, V., Chavan, A., Raj, A., Nguyen, N., Tran, D., Huynh, L., Boutry, N., Rezvy, S., Chen, H., Choi, Y., Subramanian, A., Balasubramanian, V., Gao, X., Hu, H., Liao, Y., Stoyanov, D., Daul, C., Realdon, S., Cannizzaro, R., Lamarque, D., Tran-Nguyen, T., Bailey, A., Braden, B., East, J. and Rittscher, J. 2021. Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Analysis. 70. https://doi.org/10.1016/j.media.2021.102002
Type | Article |
---|---|
Title | Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy |
Authors | Ali, S., Dmitrieva, M., Ghatwary, N., Bano, S., Polat, G., Temizel, A., Krenzer, A., Hekalo, A., Guo, Y., Matuszewski, B., Gridach, M., Voiculescu, I., Yoganand, V., Chavan, A., Raj, A., Nguyen, N., Tran, D., Huynh, L., Boutry, N., Rezvy, S., Chen, H., Choi, Y., Subramanian, A., Balasubramanian, V., Gao, X., Hu, H., Liao, Y., Stoyanov, D., Daul, C., Realdon, S., Cannizzaro, R., Lamarque, D., Tran-Nguyen, T., Bailey, A., Braden, B., East, J. and Rittscher, J. |
Abstract | The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative to address eminent problems in developing |
Keywords | Artefact, Challenge, Deep learning, Detection, Disease, Endoscopy, Gastroenterology, Segmentation |
Publisher | Elsevier |
Journal | Medical Image Analysis |
ISSN | 1361-8415 |
Electronic | 1361-8423 |
Publication dates | |
Online | 17 Feb 2021 |
01 May 2021 | |
Publication process dates | |
Deposited | 15 Feb 2021 |
Accepted | 11 Feb 2021 |
Output status | Published |
Accepted author manuscript | License |
Copyright Statement | © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.media.2021.102002 |
Language | English |
https://repository.mdx.ac.uk/item/89444
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