Unsupervised and quantitative intestinal ischemia detection using conditional adversarial network in multimodal optical imaging Article Swipe
Yaning Wang
,
Laura Tiusaba
,
Shimon E. Jacobs
,
Michele Saruwatari
,
Bo Ning
,
Marc A. Levitt
,
Anthony D. Sandler
,
So Hyun Nam
,
Jin U. Kang
,
Jaepyeong Cha
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1117/1.jmi.9.6.064502
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1117/1.jmi.9.6.064502
The proposed cGAN can provide pixel-wise and dye-free quantitative analysis of intestinal perfusion, which is an ideal supplement to the traditional LSCI technique. It has potential to help surgeons increase the accuracy of intraoperative diagnosis and improve clinical outcomes of mesenteric ischemia and other gastrointestinal surgeries.
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Metadata
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1117/1.jmi.9.6.064502
- https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-9/issue-6/064502/Unsupervised-and-quantitative-intestinal-ischemia-detection-using-conditional-adversarial-network/10.1117/1.JMI.9.6.064502.pdf
- OA Status
- hybrid
- Cited By
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- References
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- Related Works
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- OpenAlex ID
- https://openalex.org/W4310141817
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4310141817Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1117/1.jmi.9.6.064502Digital Object Identifier
- Title
-
Unsupervised and quantitative intestinal ischemia detection using conditional adversarial network in multimodal optical imagingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-11-28Full publication date if available
- Authors
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Yaning Wang, Laura Tiusaba, Shimon E. Jacobs, Michele Saruwatari, Bo Ning, Marc A. Levitt, Anthony D. Sandler, So Hyun Nam, Jin U. Kang, Jaepyeong ChaList of authors in order
- Landing page
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https://doi.org/10.1117/1.jmi.9.6.064502Publisher landing page
- PDF URL
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https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-9/issue-6/064502/Unsupervised-and-quantitative-intestinal-ischemia-detection-using-conditional-adversarial-network/10.1117/1.JMI.9.6.064502.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-9/issue-6/064502/Unsupervised-and-quantitative-intestinal-ischemia-detection-using-conditional-adversarial-network/10.1117/1.JMI.9.6.064502.pdfDirect OA link when available
- Concepts
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Medicine, Ischemia, Intestinal ischemia, Artificial intelligence, Radiology, Pattern recognition (psychology), Cardiology, Reperfusion injury, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2023: 3Per-year citation counts (last 5 years)
- References (count)
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58Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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