Skip to main navigation
Skip to search
Skip to main content
University of Edinburgh Research Explorer Home
Help & FAQ
Home
Research output
Profiles
Research units
Projects
Datasets
Prizes
Activities
Press/Media
Equipment
Search by expertise, name or affiliation
Software to assess the utility of autofluorescence-based pulmonary optical endomicroscopy to predict the malignant potential of solitary pulmonary nodules in humans
Sohan Seth
(Creator)
Christopher Williams
(Creator)
Kevin Dhaliwal
(Creator)
Mark Bradley
(Creator)
School of Informatics
Institute for Adaptive and Neural Computation
Deanery of Clinical Sciences
Centre for Inflammation Research
School of Chemistry
EaStCHEM
Dataset
Overview
Research output
(1)
Research output
Research output per year
2016
2016
2016
1
Article
Research output per year
Research output per year
1 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Filter
Article
Search results
2016
Assessing the utility of autofluorescence-based pulmonary optical endomicroscopy to predict the malignant potential of solitary pulmonary nodules in humans
Seth, S.
,
Akram, A. R.
,
McCool, P.
,
Westerfeld, J.
,
Wilson, D.
,
McLaughlin, S.
,
Dhaliwal, K.
&
Williams, C. K. I.
,
23 Aug 2016
,
In:
Scientific Reports.
6
,
10 p.
, 31372.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Human
100%
Autofluorescence
100%
Endomicroscopy
100%
Lung Nodule
100%
Patient
66%