Medical hyperspectral imaging: a review
Hyperspectral imaging (HSI) is an emerging imaging modality for medical applications,
especially in disease diagnosis and image-guided surgery. HSI acquires a three …
especially in disease diagnosis and image-guided surgery. HSI acquires a three …
A recent survey on colon cancer detection techniques
Colon cancer causes deaths of about half a million people every year. Common method of
its detection is histopathological tissue analysis, which, though leads to vital diagnosis, is …
its detection is histopathological tissue analysis, which, though leads to vital diagnosis, is …
Supervised machine learning methods and hyperspectral imaging techniques jointly applied for brain cancer classification
G Urbanos, A Martín, G Vázquez, M Villanueva, M Villa… - Sensors, 2021 - mdpi.com
Hyperspectral imaging techniques (HSI) do not require contact with patients and are non-
ionizing as well as non-invasive. As a consequence, they have been extensively applied in …
ionizing as well as non-invasive. As a consequence, they have been extensively applied in …
An intraoperative visualization system using hyperspectral imaging to aid in brain tumor delineation
Hyperspectral imaging (HSI) allows for the acquisition of large numbers of spectral bands
throughout the electromagnetic spectrum (within and beyond the visual range) with respect …
throughout the electromagnetic spectrum (within and beyond the visual range) with respect …
Hyperspectral imaging in medical applications
B Fei - Data handling in science and technology, 2019 - Elsevier
Hyperspectral imaging (HSI) is an emerging imaging modality for medical applications,
especially in disease diagnosis and image-guided surgery. HSI acquires three-dimensional …
especially in disease diagnosis and image-guided surgery. HSI acquires three-dimensional …
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection
The use of hyperspectral imaging for medical applications is becoming more common in
recent years. One of the main obstacles that researchers find when developing …
recent years. One of the main obstacles that researchers find when developing …
Hyperspectral image representation and processing with binary partition trees
S Valero, P Salembier… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
The optimal exploitation of the information provided by hyperspectral images requires the
development of advanced image-processing tools. This paper proposes the construction …
development of advanced image-processing tools. This paper proposes the construction …
Fully automated segmentation of oncological PET volumes using a combined multiscale and statistical model
The widespread application of positron emission tomography (PET) in clinical oncology has
driven this imaging technology into a number of new research and clinical arenas …
driven this imaging technology into a number of new research and clinical arenas …
Investigation of the performance of hyperspectral imaging by principal component analysis in the prediction of healing of diabetic foot ulcers
Q Yang, S Sun, WJ Jeffcoate, DJ Clark, A Musgove… - Journal of …, 2018 - mdpi.com
Diabetic foot ulcers are a major complication of diabetes and present a considerable burden
for both patients and health care providers. As healing often takes many months, a method …
for both patients and health care providers. As healing often takes many months, a method …
Analysis of 3D scan measurement distribution with application to a multi-beam lidar on a rotating platform
Multi-beam lidar (MBL) rangefinders are becoming increasingly compact, light, and
accessible 3D sensors, but they offer limited vertical resolution and field of view. The …
accessible 3D sensors, but they offer limited vertical resolution and field of view. The …