Hyperspectral Colour Classification (HCC)

Dataset utilised for the training and testing of the spectral classification system for a line-scanning hyperspectral endoscope and the associated core algorithms. See the Readme file for a detailed description.

Format

Pixel-wise and Patch-based Convolutional Neural Networks (CNN) implemented in Python 3.6.4 using Theano 1.0.0. Support Vector Machine (SVM) implemented in Python 3.6.4 using sklearn 0.19.2. Spectral unmixing and Pearson Correlation Analyis implemented in Matlab R2018a. The NVIDIA GeForce GTX 1060 Graphical Processing Unit (GPU) was used for acceleration of the learning algorithms.

Keywords

hyperspectral imaging, convolutional neural networks, pearson correlation, spectral unmixing, support vector machines

Relationships

Publication Reference: https://doi.org/10.1038/s41598-020-60574-6 https://www.repository.cam.ac.uk/handle/1810/302170

Sponsorship

Engineering and Physical Sciences Research Council (EP/N014588/1)

Cancer Research UK (21102)

Engineering and Physical Sciences Research Council (EP/R003599/1)

Identifiers

This record's DOI: https://doi.org/10.17863/CAM.49542

Rights

Attribution 4.0 International (CC BY 4.0)

Licence URL: https://creativecommons.org/licenses/by/4.0/

Statistics

Total file downloads (since January 2020). For more information on metrics see the IRUS guide.

Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)