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Duan, Jinming, Tench, Christopher, Gottlob, Irene, Proudlock, Frank, Bai, Li (2017) Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance. Pattern Recognition, 72. 158-175 doi:10.1016/j.patcog.2017.07.004

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Reference TypeJournal (article/letter/editorial)
TitleAutomated segmentation of retinal layers from optical coherence tomography images using geodesic distance
JournalPattern Recognition
AuthorsDuan, JinmingAuthor
Tench, ChristopherAuthor
Gottlob, IreneAuthor
Proudlock, FrankAuthor
Bai, LiAuthor
Year2017 (December)Volume72
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.07.004Search in ResearchGate
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Mindat Ref. ID9367098Long-form Identifiermindat:1:5:9367098:4
GUID0
Full ReferenceDuan, Jinming, Tench, Christopher, Gottlob, Irene, Proudlock, Frank, Bai, Li (2017) Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance. Pattern Recognition, 72. 158-175 doi:10.1016/j.patcog.2017.07.004
Plain TextDuan, Jinming, Tench, Christopher, Gottlob, Irene, Proudlock, Frank, Bai, Li (2017) Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance. Pattern Recognition, 72. 158-175 doi:10.1016/j.patcog.2017.07.004
In(2017) Pattern Recognition Vol. 72. Elsevier BV

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