Results 151 to 160 of about 10,052 (204)

Laparoscopic near-infrared hyperspectral imaging system for identifying living porcine nerves and unexposed arteries. [PDF]

Biomed Opt Express
Takamatsu T, Hayashi S, Okamoto N, Arakaki S, Guedes Hernández A, Takeshita N, Hasegawa H, Yokota H, Soga K, Callico GM, Takemura H.   +10 more
europepmc   +1 more source

Hyperspectral Imaging for Quality Assessment of Processed Foods: A Case Study on Sugar Content in Apple Jam. [PDF]

Foods
Lissovoy D, Zakeryanova A, Orazbayev R, Rakhimzhanova T, Lewis M, Varol HA, Chan MY.   +6 more
europepmc   +1 more source

Interband Consistency-Driven Structural Subspace Clustering for Unsupervised Hyperspectral Band Selection. [PDF]

Sensors (Basel)
Wang Z, Wang W.
europepmc   +1 more source

Artificial neural networks as a prognostic tool using hyperspectral imaging on pretherapeutic histopathological specimens of esophageal adenocarcinoma. [PDF]

J Cancer Res Clin Oncol
Trifone CT, Maktabi M, Bischoff P, Schierle K, Niebisch S, Moulla Y, Plum PS, Jansen-Winkeln B, Gockel I, Thieme R.   +9 more
europepmc   +1 more source

Enhancing Oral Health Diagnostics With Hyperspectral Imaging and Computer Vision: Clinical Dataset Study.

JMIR Med Inform
Römer P, Ponciano JJ, Kloster K, Siegberg F, Plaß B, Vinayahalingam S, Al-Nawas B, Kämmerer PW, Klauer T, Thiem D.   +9 more
europepmc   +1 more source

Evaluation of Strawberry Quality using Near-Infrared Hyperspectral Imaging(NIR-HSI)

Evaluation of Strawberry Quality using Near-Infrared Hyperspectral Imaging(NIR-HSI)
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Hyperspectral Imaging (HSI) of Human Kidney Allografts

Annals of Surgery, 2020
Objective: Aim of our study was to test a noninvasive HSI technique as an intraoperative real time assessment tool for deceased donor kidney quality and function in human kidney allotransplantation. Summary of Background Data: HSI is capable to deliver quantitative diagnostic ...
Robert, Sucher, Tristan, Wagner, Hannes, Köhler, Elisabeth, Sucher, Hanna, Quice, Sebastian, Recknagel, Andri, Lederer, Hans Michael, Hau, Sebastian, Rademacher, Stefan, Schneeberger, Gerald, Brandacher, Ines, Gockel, Daniel, Seehofer   +12 more
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HSI-DeNet: Hyperspectral Image Restoration via Convolutional Neural Network

IEEE Transactions on Geoscience and Remote Sensing, 2019
The spectral and the spatial information in hyperspectral images (HSIs) are the two sides of the same coin. How to jointly model them is the key issue for HSIs’ noise removal, including random noise, structural stripe noise, and dead pixels/lines. In this paper, we introduce the deep convolutional neural network (CNN) to achieve this goal.
Yi Chang, Luxin Yan, Houzhang Fang, Sheng Zhong, Wenshan Liao   +4 more
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HSI-GCN: hyperspectral image classification algorithm based on Gabor convolutional networks

World Journal of Engineering, 2021
Purpose Hyperspectral imaging (HSI) systems are becoming potent technologies for computer vision tasks due to the rich information they uncover, where each substance exhibits a distinct spectral distribution. Although the high spectral dimensionality of the data empowers feature learning, the joint spatial–spectral ...
Houari Youcef Moudjib, Duan Haibin, Baochang Zhang, Mohammed Salah Ahmed Ghaleb   +3 more
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Assessing flap perfusion after free tissue transfer using hyperspectral imaging (HSI)

European Journal of Plastic Surgery, 2021
Hyperspectral imaging (HSI) is a new device for monitoring microcirculation. The aim of this study is to describe hyperspectral imaging after free tissue. We assessed 22 patients from our department who underwent hyperspectral imaging monitoring. Four parameters were measured: tissue oxygenation, tissue hemoglobin index, deep tissue near-infrared ...
Torsten Schulz, Sebastian Leuschner, Frank Siemers, Jörg Marotz, Khosrow Houschyar, Cord Christian Corterier   +5 more
openaire   +1 more source