In-vivo and ex-vivo tissue analysis through hyperspectral imaging techniques: revealing the invisible features of cancer
In contrast to conventional optical imaging modalities, hyperspectral imaging (HSI) is able to
capture much more information from a certain scene, both within and beyond the visual …
capture much more information from a certain scene, both within and beyond the visual …
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the
surrounding normal brain by these tumors makes their accurate identification by the naked …
surrounding normal brain by these tumors makes their accurate identification by the naked …
An extensive review of hyperspectral image classification and prediction: techniques and challenges
G Tejasree, L Agilandeeswari - Multimedia Tools and Applications, 2024 - Springer
Abstract Hyperspectral Image Processing (HSIP) is an essential technique in remote
sensing. Currently, extensive research is carried out in hyperspectral image processing …
sensing. Currently, extensive research is carried out in hyperspectral image processing …
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 …
Towards real-time computing of intraoperative hyperspectral imaging for brain cancer detection using multi-GPU platforms
Several causes make brain cancer identification a challenging task for neurosurgeons
during the surgical procedure. The surgeons' naked eye sometimes is not enough to …
during the surgical procedure. The surgeons' naked eye sometimes is not enough to …
[HTML][HTML] Hyperspectral imaging in brain tumor surgery—evidence of machine learning-based performance
Background Hyperspectral imaging (HSI) has the potential to enhance surgical tissue
detection and diagnostics. Definite utilization of intraoperative HSI guidance demands …
detection and diagnostics. Definite utilization of intraoperative HSI guidance demands …
SVM-based real-time hyperspectral image classifier on a manycore architecture
This paper presents a study of the design space of a Support Vector Machine (SVM)
classifier with a linear kernel running on a manycore MPPA (Massively Parallel Processor …
classifier with a linear kernel running on a manycore MPPA (Massively Parallel Processor …
Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture
This paper presents a study of the parallelism of a Principal Component Analysis (PCA)
algorithm and its adaptation to a manycore MPPA (Massively Parallel Processor Array) …
algorithm and its adaptation to a manycore MPPA (Massively Parallel Processor Array) …
An extremely pipelined FPGA implementation of a lossy hyperspectral image compression algorithm
D Báscones, C González… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Segmented and pipelined execution has been a staple of computing for the past decades.
Operations over different values can be carried out at the same time speeding up …
Operations over different values can be carried out at the same time speeding up …
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 …