Fused framework for glaucoma diagnosis using Optical Coherence Tomography (OCT) images

作者：

Highlights：

• Use of three-dimensional OCT Volumes for Glaucoma Diagnosis.

• Fused framework combining Machine Learning and 3D convolutional Deep Learning.

• Fusion analysis using introduction of new metric ‘disputes’.

• Grad-CAM activation maps to analyse regions of interest.

摘要

•Use of three-dimensional OCT Volumes for Glaucoma Diagnosis.•Fused framework combining Machine Learning and 3D convolutional Deep Learning.•Fusion analysis using introduction of new metric ‘disputes’.•Grad-CAM activation maps to analyse regions of interest.

论文关键词：Optical Coherence Tomography,Glaucoma,Machine learning,Deep learning,Information fusion,Computer aided diagnosis

论文评审过程：Received 3 November 2020, Revised 25 December 2021, Accepted 7 April 2022, Available online 16 April 2022, Version of Record 19 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117202