SPECTRAL IMAGING OF COMPLEX SURFACE TOMOGRAPHIES (SICSURFIS)
Main funder
Funder's project number: 314519
Funds granted by main funder (€)
- 269 651,00
Funding program
Project timetable
Project start date: 01/01/2018
Project end date: 31/12/2021
Summary
We are creating a cost efficient solution for the spectral imaging of surfaces of complex topographies with miniaturized spectral sensors and illumination devices. For these devices, we will develop novel tools to analyse and model data. These will be applied to e.g. skin cancer detection.
Principal Investigator
Primary responsible unit
Related publications and other outputs
- Differentiating Malignant from Benign Pigmented or Non-Pigmented Skin Tumours : A Pilot Study on 3D Hyperspectral Imaging of Complex Skin Surfaces and Convolutional Neural Networks (2022) Lindholm, Vivian; et al.; A1; OA
- FPI Based Hyperspectral Imager for the Complex Surfaces : Calibration, Illumination and Applications (2022) Raita-Hakola, Anna-Maria; et al.; A1; OA
- Unsupervised Numerical Characterization in Determining the Borders of Malignant Skin Tumors from Spectral Imagery (2022) Pölönen, Ilkka; et al.; A3; OA; 978-3-030-70787-3
- Using Wave Propagation Simulations and Convolutional Neural Networks to Retrieve Thin Film Thickness from Hyperspectral Images (2022) Erkkilä; et al.; A3; 978-3-030-70787-3
- Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion (2020) Annala, Leevi; et al.; A1; OA
- Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural Network (2020) Annala, Leevi; et al.; A4; OA; 978-1-7281-1990-8
