Retinal Fluid Segmentation Using Ensembled 2-Dimensionally and 2.5-Dimensionally Deep Learning Networks
Morphological changes related to different diseases that occur in the retina are currently extensively researched. Manual segmentation of retinal fluids is time-consuming and subject to variability, giving prominence to the demand for robust automatic segmentation methods. The standard in assessing...
| Main Authors: | Alsaih, K., Yusoff, M.Z., Faye, I., Tang, T.B., Meriaudeau, F. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23221 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090593219&doi=10.1109%2fACCESS.2020.3017449&partnerID=40&md5=5846aa2a9d8780f5e3216c50ee8861b1 http://eprints.utp.edu.my/23221/ |
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