[HTML][HTML] Surgical data science–from concepts toward clinical translation
Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
Deep learning in medical hyperspectral images: A review
With the continuous progress of development, deep learning has made good progress in the
analysis and recognition of images, which has also triggered some researchers to explore …
analysis and recognition of images, which has also triggered some researchers to explore …
[HTML][HTML] Robust deep learning-based semantic organ segmentation in hyperspectral images
Semantic image segmentation is an important prerequisite for context-awareness and
autonomous robotics in surgery. The state of the art has focused on conventional RGB video …
autonomous robotics in surgery. The state of the art has focused on conventional RGB video …
Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model
A Studier-Fischer, S Seidlitz, J Sellner, B Özdemir… - Scientific Reports, 2022 - nature.com
Visual discrimination of tissue during surgery can be challenging since different tissues
appear similar to the human eye. Hyperspectral imaging (HSI) removes this limitation by …
appear similar to the human eye. Hyperspectral imaging (HSI) removes this limitation by …
Spectral imaging enables contrast agent–free real-time ischemia monitoring in laparoscopic surgery
Laparoscopic surgery has evolved as a key technique for cancer diagnosis and therapy.
While characterization of the tissue perfusion is crucial in various procedures, such as partial …
While characterization of the tissue perfusion is crucial in various procedures, such as partial …
Spectral organ fingerprints for intraoperative tissue classification with hyperspectral imaging
A Studier-Fischer, S Seidlitz, J Sellner, M Wiesenfarth… - bioRxiv, 2021 - biorxiv.org
Visual discrimination of tissue during surgery can be challenging since different tissues
appear similar to the human eye. Hyperspectral imaging (HSI) removes this limitation by …
appear similar to the human eye. Hyperspectral imaging (HSI) removes this limitation by …
New spectral imaging biomarkers for sepsis and mortality in intensive care
S Seidlitz, K Hölzl, A von Garrel, J Sellner… - arXiv preprint arXiv …, 2024 - arxiv.org
With sepsis remaining a leading cause of mortality, early identification of septic patients and
those at high risk of death is a challenge of high socioeconomic importance. The driving …
those at high risk of death is a challenge of high socioeconomic importance. The driving …
[HTML][HTML] Advancements in Hyperspectral Imaging and Computer-Aided Diagnostic Methods for the Enhanced Detection and Diagnosis of Head and Neck Cancer
IC Wu, YC Chen, R Karmakar, A Mukundan, G Gabriel… - Biomedicines, 2024 - mdpi.com
Background/Objectives: Head and neck cancer (HNC), predominantly squamous cell
carcinoma (SCC), presents a significant global health burden. Conventional diagnostic …
carcinoma (SCC), presents a significant global health burden. Conventional diagnostic …
Band selection for oxygenation estimation with multispectral/hyperspectral imaging
Multispectral imaging provides valuable information on tissue composition such as
hemoglobin oxygen saturation. However, the real-time application of this technique in …
hemoglobin oxygen saturation. However, the real-time application of this technique in …
Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis
Novel optical imaging techniques, such as hyperspectral imaging (HSI) combined with
machine learning-based (ML) analysis, have the potential to revolutionize clinical surgical …
machine learning-based (ML) analysis, have the potential to revolutionize clinical surgical …