Back to search

Article

Inception Capsule Network for Retinal Blood Vessel Segmentation and Centerline Extraction

2019-10-22

Abstract excerpt

<h4>ABSTRACT</h4> Automatic segmentation and centerline extraction of retinal blood vessels from fundus image data is crucial for early detection of retinal diseases. We have developed a novel deep learning method for segmentation and centerline extraction of retinal blood vessels which is based on the Capsule network in combination with the Inception architecture. Compared to state-of-the-art deep convolutional...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
928c7e74-ab3b-5d89-b58a-1d5dbfbd6b2a
DOI
10.1101/815555
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Inception Capsule Network for Retinal Blood Vessel Segmentation and Centerline ExtractionDOI 10.1101/815555
Select a neighboring publication to make it the new centre.