The role of intraoperative hyperspectral imaging (HSI) in colon interposition after esophagectomy
Abstract Background Colon conduit is an alternative approach to reconstructing the alimentary tract after esophagectomy. Hyperspectral imaging (HSI) has been demonstrated to be effective for evaluating the perfusion of gastric conduits, but not colon conduits.
Anne Zimmermann +10 more
openaire +3 more sources
Hyperspectral Imaging (HSI) in anatomic left liver resection
Abstract Introduction Anatomic liver resection is based on the description of functional segments, which rely on the organs arterial and portal venous blood supply. Vascular inflow control of the left liver is performed by occlusion of the left hepatic artery (LHA) and left portal vein (LPV ...
Sucher, Robert +7 more
openaire +2 more sources
Single-Point Detection Architecture via Liquid Crystal Modulation for Hyperspectral Imaging Systems
Hyperspectral imaging (HSI) architectures can acquire one-dimension of spatial information and one-dimension of spectral information on a two-dimensional image sensor for an image, such as in the traditional line-scan HSI architecture.
C. Harrison Brodie +1 more
doaj +1 more source
WTL-I: Mutual Information-Based Wavelet Transform Learning for Hyperspectral Imaging
Hyperspectral imaging (HSI) is useful in many applications, including healthcare, geosciences, and remote surveillance. In general, the HSI data set is large.
Shiv Gehlot +2 more
doaj +1 more source
STACKED LOCAL FEATURE DETECTOR FOR HYPERSPECTRAL IMAGE [PDF]
Images registration is an important task in hyperspectral image processing, while almost all local feature point based image matching algorithm is designed for single band image only and miss the advantage of abundant spectral information.
Z. Yan, Z. Wu
doaj +1 more source
With the emergence of huge volumes of high-resolution Hyperspectral Images (HSI) produced by different types of imaging sensors, analyzing and retrieving these images require effective image description and quantification techniques.
Olfa Ben-Ahmed +3 more
doaj +1 more source
Hyperspectral Superresolution Reconstruction via Decomposition of Low-Rank and Sparse Tensor
Hyperspectral superresolution reconstruction technique obtains a high-resolution hyperspectral image (HR-HSI) by fusing both a low-resolution hyperspectral image (LR-HSI) and a high-resolution multispectral image.
Huajing Wu +4 more
doaj +1 more source
Hyperspectral Super-Resolution Technique Using Histogram Matching and Endmember Optimization
In most hyperspectral super-resolution (HSR) methods, which are techniques used to improve the resolution of hyperspectral images (HSIs), the HSI and the target RGB image are assumed to have identical fields of view.
Byunghyun Kim, Soojin Cho
doaj +1 more source
Multi-level graph learning network for hyperspectral image classification
Graph Convolutional Network (GCN) has emerged as a new technique for hyperspectral image (HSI) classification. However, in current GCN-based methods, the graphs are usually constructed with manual effort and thus is separate from the classification task,
Wan, Sheng +13 more
core +1 more source
In vivo evaluation of a hyperspectral imaging system for minimally invasive surgery (HSI-MIS)
Abstract Background Hyperspectral Imaging (HSI) is a reliable and safe imaging method for taking intraoperative perfusion measurements. This is the first study translating intraoperative HSI to an in vivo laparoscopic setting using a CE-certified HSI-system for minimally invasive surgery (HSI-MIS).
Madeleine T. Thomaßen +9 more
openaire +3 more sources

