Supplementary document for Automatic segmentation and quantification of OCT images pre and post cataract surgery using deep learning - 6947687.pdf

Figure S1. Flowchart of the classical image processing-based segmentation approach; Table S1. Segmentation accuracy (IoU) and training time for all the pre-trained models on the validation set; Figure S2. Segmentation examples.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.26014906
Primary Topic
Retinal Imaging and Analysis
Type
article
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0.00
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Supplementary document for Automatic segmentation and quantification of OCT images pre and post cataract surgery using deep learning - 6947687.pdf

Figshare
Retinal Imaging and Analysis
article

Supplementary document for Automatic segmentation and quantification of OCT images pre and post cataract surgery using deep learning - 6947687.pdf

article en

Abstract

Figure S1. Flowchart of the classical image processing-based segmentation approach; Table S1. Segmentation accuracy (IoU) and training time for all the pre-trained models on the validation set; Figure S2. Segmentation examples.

Figshare
Openalex Percentile: Top 42%
Retinal Imaging and Analysis
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Supplementary document for Automatic segmentation and quantification of OCT images pre and post cataract surgery using deep learning - 6947687.pdf · Figshare (2025) | TGRS Research Map | TGRS