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Erschienen in:
Anti-occlusion Light-Field Optical Flow Estimation Using Light-Field Super-Pixels Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

AI-based AMD Analysis: A Review of Recent Progress

verfasst von : P. Burlina, N. Joshi, N. M. Bressler

Erschienen in: Computer Vision – ACCV 2018 Workshops

Verlag: Springer International Publishing

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Abstract

Since 2016 much progress has been made in the automatic analysis of age related macular degeneration (AMD). Much of it was dedicated to the classification of referable vs. non-referable AMD, fine-grained AMD severity classification, and assessing the five-year risk of progression to the severe form of AMD. Here we review these developments, the main tasks that were addressed, and the main methods that were carried out.

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Vorheriges Kapitel Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis
Nächstes Kapitel Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs
Fußnoten
1
Although it was also suggested that this may not necessarily have a substantial influence on the generalizability of the deep learning models.
 
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Metadaten
Titel
AI-based AMD Analysis: A Review of Recent Progress
verfasst von
P. Burlina
N. Joshi
N. M. Bressler
Copyright-Jahr
2019
Buch
Computer Vision – ACCV 2018 Workshops

Print ISBN: 978-3-030-21073-1

Electronic ISBN: 978-3-030-21074-8

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-21074-8_25

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