Clinical application of machine learning and computer vision to indocyanine green quantification for dynamic intraoperative tissue characterisation: how to do it

Research article (Surgical Endoscopy, 2023) · cited 19× · AI/ML
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Clinical application of machine learning and computer vision to indocyanine green quantification for dynamic intraoperative tissue characterisation: how to do it

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Clinical application of machine learning and computer vision to indocyanine green quantification for dynamic intraoperative tissue characterisation: how to do it is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Clinical application of machine learning and computer vision to indocyanine green quantification for dynamic intraoperative tissue characterisation: how to do it. Retrieved May 24, 2026, from https://4ort.xyz/entity/clinical-application-of-machine-learning-and-computer-vision-to-indocyanine-green-quantification-for-dynamic-intraoperat
MLA “Clinical application of machine learning and computer vision to indocyanine green quantification for dynamic intraoperative tissue characterisation: how to do it.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/clinical-application-of-machine-learning-and-computer-vision-to-indocyanine-green-quantification-for-dynamic-intraoperat.
BibTeX @misc{4ortxyz_clinical-application-of-machine-learning-and-computer-vision-to-indocyanine-green-quantification-for-dynamic-intraoperat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Clinical application of machine learning and computer vision to indocyanine green quantification for dynamic intraoperative tissue characterisation: how to do it}}, year = {2026}, url = {https://4ort.xyz/entity/clinical-application-of-machine-learning-and-computer-vision-to-indocyanine-green-quantification-for-dynamic-intraoperat}, note = {Accessed: 2026-05-24}}
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