Model-Based Parameter Recovery from Uncalibrated Optical Images

We propose a novel method for quantitative interpretation of uncalibrated optical images which is derived explicitly from an analysis of the image formation model. Parameters characterising the tissue are recovered from images acquired using filters optimised to minimise the error. Preliminary resul...

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Bibliographische Detailangaben
Hauptverfasser:	Preece, S. J., Styles, I. B., Cotton, S. D., Claridge, E., Calcagni, A.
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Basal Cell Carcinoma Calibration Computer Simulation Dermoscopy - methods Fundus Image Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Models, Biological Ocular Fundus Ophthalmoscopy - methods Optics and Photonics Pattern Recognition, Automated - methods Pigment Xanthophyll Quantitative Interpretation Reproducibility of Results Sensitivity and Specificity Subtraction Technique
Online-Zugang:	Volltext
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