An Improved Retinal Vessel Segmentation Framework Using Frangi Filter Coupled with the Probabilistic Patch Based Denoiser Khawaja, A., Khan, Tariq, Naveed, K., Naqvi, S.S., Rehman, N.U. and Junaid Nawaz, S. 2019, An Improved Retinal Vessel Segmentation Framework Using Frangi Filter Coupled with the Probabilistic Patch Based Denoiser, IEEE Access, vol. 7, pp. 164344-164361, doi: 10.1109/ACCESS.2019.2953259. Attached Files Name Description MIMEType Size Downloads Title An Improved Retinal Vessel Segmentation Framework Using Frangi Filter Coupled with the Probabilistic Patch Based Denoiser Author(s) Khawaja, A. Khan, Tariq orcid.org/0000-0002-7477-1591 Naveed, K. Naqvi, S.S. Rehman, N.U. Junaid Nawaz, S. Journal name IEEE Access Volume number 7 Start page 164344 End page 164361 Total pages 18 Publisher IEEE Place of publication Piscataway, N.J. Publication date 2019 ISSN 2169-3536 2169-3536 Keyword(s) Science & Technology Technology Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Image denoising image segmentation modified Frangi filter probabilistic patch-based denoiser retinal vessels BLOOD-VESSELS MATCHED-FILTER FUNDUS IMAGES BIT PLANES EXTRACTION CONTRAST LEVEL Language eng DOI 10.1109/ACCESS.2019.2953259 Indigenous content off Field of Research 08 Information and Computing Sciences 09 Engineering 10 Technology HERDC Research category C1.1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30144326 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open access)     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Tue, 20 Oct 2020, 10:40:45 EST Wed, 21 Oct 2020, 04:00:47 EST Wed, 21 Oct 2020, 05:05:31 EST Wed, 21 Oct 2020, 11:33:27 EST Wed, 21 Oct 2020, 11:34:28 EST Wed, 21 Oct 2020, 11:58:26 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 5 times in Scopus Search Google Scholar Access Statistics: 38 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Tue, 20 Oct 2020, 10:40:45 EST

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