Computational methods and deep learning for ophthalmology

  • What are the applications of deep learning in ophthalmology?

    Most of the initial studies have centered around detection of referable diabetic retinopathy, age-related macular degeneration, and glaucoma.
    Summary: Deep learning has shown promising results in automated image analysis of fundus photographs and optical coherence tomography images..

  • What is the role of artificial intelligence and machine learning in ophthalmology?

    AI can play a vital role in assisting with ROP diagnosis, thereby improving treatment outcomes.
    In a study by Brown et al.,[74] researchers showed that a DL algorithm trained with wide-field retinal photographs outperformed 6 out of 8 ROP experts on an independent data set of 100 images in diagnosing ROP.Dec 30, 2022.

  • AI can also be used to predict glaucoma progression.
    Yousefi et al.56 reported an unsupervised machine-learning method to identify longitudinal glaucoma progression based on visual fields from 2,085 eyes of 1,214 subjects.
Description. Computational Methods and Deep Learning for Ophthalmology presents readers with the concepts and methods needed to design and use advanced computer-aided diagnosis systems for ophthalmologic abnormalities in the human eye.
The feature extraction and analysis using deep learning techniques used in computation-based detection technology reduces human error, resulting in more accurate results and assisting ophthalmologists in determining the best treatment for their patients.
The feature extraction and analysis using deep learning techniques used in computation-based detection technology reduces human error, resulting in more accurate results and assisting ophthalmologists in determining the best treatment for their patients.

Categories

Computational methods and function theory scimago
Computational methods and production engineering
Computational methods and algorithms in signal processing
Computational methods and programming book pdf
Computational methods and techniques pdf
Computational methods and techniques lecture notes
Computational methods book
Computational methods book pdf
Computational methods btech
Computational methods biology
Computational methods basics
Computer methods biomedicine
Computer methods byu
Computer methods bioinformatics
Computational approach breast cancer
Computational methods for biomolecular docking
Computational methods for building physics and construction materials
Computational methods for bayesian statistics
Computational methods in biochemistry
Computational methods for biomarker discovery