Explainability in Automated Ground Glass Opacity (GGO) Segmentation Using Chest CT Scans

Shereen Fouad; Paula  Atim; Arvind  Rajasekaran; Pankaj  Nagori; John  Morlese; Bahadar  Bhatia

Explainability in Automated Ground Glass Opacity (GGO) Segmentation Using Chest CT Scans

Shereen Fouad
, Paula Atim
, Arvind Rajasekaran
, Pankaj Nagori
, John Morlese
, Bahadar Bhatia

school of computer science and digital engineering, Aston University
Sandwell and West Birmingham Hospitals NHS Trust

Research output: Unpublished contribution to conference › Abstract › peer-review

26 Downloads (Pure)

Original language	English
Publication status	Published - 14 Apr 2025
Event	International Symposium on Biomedical Imaging - Hyatt Regency, Houston, United States Duration: 14 Apr 2025 → 17 Apr 2025 https://biomedicalimaging.org/2025/

Conference

Conference	International Symposium on Biomedical Imaging
Abbreviated title	ISBI 2025
Country/Territory	United States
City	Houston
Period	14/04/25 → 17/04/25
Internet address	https://biomedicalimaging.org/2025/

Bibliographical note

This is the author's accepted manuscript of an abstract presented at the 2025 International Symposium on Biomedical Imaging.

Access to Document

An explainability in automated ground glass opacity (GGO) segmentation using chest CT scans
This is the author's accepted manuscript of an abstract presented at the 2025 International Symposium on Biomedical Imaging.
Accepted author manuscript, 306 KBLicence: Unspecified

1 Conference publication

Explainable Deep Learning Framework for ground glass opacity (GGO) Segmentation from Chest CT scans
Atim, P., Fouad , S., Tiffany Yu, S., Fratini, A., Rajasekaran, A., Nagori, P., Morlese, J. & Bhatia, B., 19 Nov 2024, (E-pub ahead of print) Proceedings of 5th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024). Springer
Research output: Chapter in Book/Published conference output › Conference publication

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Cite this

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title = "Explainability in Automated Ground Glass Opacity (GGO) Segmentation Using Chest CT Scans",

author = "Shereen Fouad and Paula Atim and Arvind Rajasekaran and Pankaj Nagori and John Morlese and Bahadar Bhatia",

note = "This is the author's accepted manuscript of an abstract presented at the 2025 International Symposium on Biomedical Imaging. ; International Symposium on Biomedical Imaging, ISBI 2025 ; Conference date: 14-04-2025 Through 17-04-2025",

year = "2025",

month = apr,

day = "14",

language = "English",

url = "https://biomedicalimaging.org/2025/",

}

TY - CONF

T1 - Explainability in Automated Ground Glass Opacity (GGO) Segmentation Using Chest CT Scans

AU - Fouad , Shereen

AU - Atim, Paula

AU - Rajasekaran, Arvind

AU - Nagori, Pankaj

AU - Morlese, John

AU - Bhatia, Bahadar

N1 - This is the author's accepted manuscript of an abstract presented at the 2025 International Symposium on Biomedical Imaging.

PY - 2025/4/14

Y1 - 2025/4/14

M3 - Abstract

T2 - International Symposium on Biomedical Imaging

Y2 - 14 April 2025 through 17 April 2025

ER -

Explainability in Automated Ground Glass Opacity (GGO) Segmentation Using Chest CT Scans

Conference

Bibliographical note

Access to Document

Research output

Explainable Deep Learning Framework for ground glass opacity (GGO) Segmentation from Chest CT scans

Cite this