Hyperspectral Colour Classification (HCC)
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Dataset
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Description
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.
Version
Software / Usage instructions
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
Publisher
Sponsorship
Engineering and Physical Sciences Research Council (EP/N014588/1)
Cancer Research UK (21102)
Engineering and Physical Sciences Research Council (EP/R003599/1)
Cancer Research UK (21102)
Engineering and Physical Sciences Research Council (EP/R003599/1)