Quantifying composition of human tissues from multispectral images using a physics-based model of image formation

Ela Claridge

doi:10.4230/DagRep.7.10.14

Quantifying composition of human tissues from multispectral images using a physics-based model of image formation

Ela Claridge

Research output: Contribution to journal › Abstract › peer-review

Original language	English
Article number	3.3
Pages (from-to)	21-22
Number of pages	2
Journal	Dagstuhl Reports
Volume	7
Issue number	10
DOIs	https://doi.org/10.4230/DagRep.7.10.14
Publication status	Published - 27 Mar 2018
Event	Hyperspectral, Multispectral, and Multimodal (HMM) Imaging: Acquisition, Algorithms, and Applications: Dagstuhl Seminar 17411 - Dagstuhl, Wadern, Germany Duration: 8 Oct 2017 → 13 Oct 2017

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10.4230/DagRep.7.10.14Licence: Creative Commons: Attribution (CC BY)

Cite this

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title = "Quantifying composition of human tissues from multispectral images using a physics-based model of image formation",

author = "Ela Claridge",

year = "2018",

month = mar,

day = "27",

doi = "10.4230/DagRep.7.10.14",

language = "English",

volume = "7",

pages = "21--22",

journal = "Dagstuhl Reports",

issn = "2192-5283",

publisher = "Schloss Dagstuhl",

number = "10",

note = "Hyperspectral, Multispectral, and Multimodal (HMM) Imaging: Acquisition, Algorithms, and Applications : Dagstuhl Seminar 17411 ; Conference date: 08-10-2017 Through 13-10-2017",

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T1 - Quantifying composition of human tissues from multispectral images using a physics-based model of image formation

AU - Claridge, Ela

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DO - 10.4230/DagRep.7.10.14

M3 - Abstract

SN - 2192-5283

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EP - 22

JO - Dagstuhl Reports

JF - Dagstuhl Reports

IS - 10

M1 - 3.3

T2 - Hyperspectral, Multispectral, and Multimodal (HMM) Imaging: Acquisition, Algorithms, and Applications

Y2 - 8 October 2017 through 13 October 2017

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