Retinal Blood Vessel Segmentation Using a Fully Convolutional Network – Transfer Learning from Patch- to Image-Level

Taibou Birgui Sekou; Moncef Hidane; Julien Olivier; Hubert Cardot

doi:10.1007/978-3-030-00919-9_20

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Retinal Blood Vessel Segmentation Using a Fully Convolutional Network – Transfer Learning from Patch- to Image-Level

Taibou Birgui Sekou Moncef Hidane Julien Olivier Hubert Cardot

Year: 2018 Lecture notes in computer science Pages: 170-178 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-00919-9_20

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Keywords:

Segmentation Computer science Transfer of learning Artificial intelligence Image (mathematics) Task (project management) Image segmentation Field (mathematics) Transfer (computing) Pattern recognition (psychology) Computer vision Mathematics Parallel computing

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Topics

Retinal Imaging and Analysis

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Retinal Diseases and Treatments

Health Sciences → Medicine → Ophthalmology

Retinal and Optic Conditions

Health Sciences → Medicine → Ophthalmology

Retinal Blood Vessel Segmentation Using a Fully Convolutional Network – Transfer Learning from Patch- to Image-Level

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Citation History

Topics

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