SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection

Adnan Qayyum; Muhammad Bilal; Junaid Qadir; Massimo Caputo; Hunaid Vohra; Taofeek Akinosho; Ilhem Berrou; Faatihah Niyi-Odumosu; Michael Loizou; Anuoluwapo Ajayi; Sofiat Abioye

doi:10.1109/ISBI53787.2023.10230822

SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection

Adnan Qayyum
, Muhammad Bilal^*
, Junaid Qadir
, Massimo Caputo
, Hunaid Vohra
, Taofeek Akinosho
, Ilhem Berrou
, Faatihah Niyi-Odumosu
, Michael Loizou
, Anuoluwapo Ajayi
, Sofiat Abioye

^*Corresponding author for this work

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

2 Citations (SciVal)

Original language	English
Title of host publication	2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665473583
DOIs	https://doi.org/10.1109/ISBI53787.2023.10230822
Publication status	Published (VoR) - 2023
Event	20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 - Cartagena, Colombia Duration: 18 Apr 2023 → 21 Apr 2023

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2023-April
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	20th IEEE International Symposium on Biomedical Imaging, ISBI 2023
Country/Territory	Colombia
City	Cartagena
Period	18/04/23 → 21/04/23

Keywords

Explainable AI
Image Segmentation
Robust ML
Surgical Data Science
Surgical Tool Detection

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10.1109/ISBI53787.2023.10230822

Cite this

Qayyum, A., Bilal, M., Qadir, J., Caputo, M., Vohra, H., Akinosho, T., Berrou, I., Niyi-Odumosu, F., Loizou, M., Ajayi, A., & Abioye, S. (2023). SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection. In 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2023-April). IEEE Computer Society. https://doi.org/10.1109/ISBI53787.2023.10230822

@inproceedings{4b7d822d189b4d5fbbe136606f694452,

title = "SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection",

keywords = "Explainable AI, Image Segmentation, Robust ML, Surgical Data Science, Surgical Tool Detection",

author = "Adnan Qayyum and Muhammad Bilal and Junaid Qadir and Massimo Caputo and Hunaid Vohra and Taofeek Akinosho and Ilhem Berrou and Faatihah Niyi-Odumosu and Michael Loizou and Anuoluwapo Ajayi and Sofiat Abioye",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 ; Conference date: 18-04-2023 Through 21-04-2023",

year = "2023",

doi = "10.1109/ISBI53787.2023.10230822",

language = "English",

series = "Proceedings - International Symposium on Biomedical Imaging",

publisher = "IEEE Computer Society",

booktitle = "2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023",

}

Qayyum, A, Bilal, M, Qadir, J, Caputo, M, Vohra, H, Akinosho, T, Berrou, I, Niyi-Odumosu, F, Loizou, M, Ajayi, A & Abioye, S 2023, SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection. in 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. Proceedings - International Symposium on Biomedical Imaging, vol. 2023-April, IEEE Computer Society, 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, 18/04/23. https://doi.org/10.1109/ISBI53787.2023.10230822

SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection. / Qayyum, Adnan; Bilal, Muhammad; Qadir, Junaid et al.
2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society, 2023. (Proceedings - International Symposium on Biomedical Imaging; Vol. 2023-April).

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

TY - GEN

T1 - SegCrop

T2 - 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023

AU - Qayyum, Adnan

AU - Bilal, Muhammad

AU - Qadir, Junaid

AU - Caputo, Massimo

AU - Vohra, Hunaid

AU - Akinosho, Taofeek

AU - Berrou, Ilhem

AU - Niyi-Odumosu, Faatihah

AU - Loizou, Michael

AU - Ajayi, Anuoluwapo

AU - Abioye, Sofiat

PY - 2023

Y1 - 2023

KW - Explainable AI

KW - Image Segmentation

KW - Robust ML

KW - Surgical Data Science

KW - Surgical Tool Detection

UR - https://www.scopus.com/pages/publications/85165605202

UR - https://www.scopus.com/pages/publications/85165605202#tab=citedBy

U2 - 10.1109/ISBI53787.2023.10230822

DO - 10.1109/ISBI53787.2023.10230822

M3 - Conference contribution

AN - SCOPUS:85165605202

T3 - Proceedings - International Symposium on Biomedical Imaging

BT - 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023

PB - IEEE Computer Society

Y2 - 18 April 2023 through 21 April 2023

ER -

Qayyum A, Bilal M, Qadir J, Caputo M, Vohra H, Akinosho T et al. SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection. In 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society. 2023. (Proceedings - International Symposium on Biomedical Imaging). doi: 10.1109/ISBI53787.2023.10230822

SegCrop: Segmentation-based Dynamic Cropping of Endoscopic Videos to Address Label Leakage in Surgical Tool Detection

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Keywords

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