Evidence map›Paper›PMID 38585179›Full record

ArticleMethodsX2024

Topology Regulated Background Extraction (TRBE) method for eye fundus images.

G J Avilés-Rodríguez, J I Nieto-Hipólito, M A Cosío-León, G S Romo-Cárdenas, J D Sánchez-López, M Vázquez-Briseño

Abstract read
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Article in MethodsX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

G J Avilés-RodríguezEscuela de Ciencias de la Salud, Universidad Autónoma de Baja California, Blvd. Juan A. Zertuche y Blvd. Los Lagos S/N. Fracc. Valle Dorado 22890 Ensenada, Baja California, Mexico.
J I Nieto-HipólitoFacultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Carretera Transpeninsular Ensenada-Tijuana Número 3917, Colonia Playitas 22860, Ensenada, Baja California, Mexico.
M A Cosío-LeónUniversidad Politécnica de Pachuca, Carr. Cdad. Sahagún-Pachuca Km. 20, Ex-Hacienda de Santa Bárbara, 43830 Zempoala, Hidalgo, Mexico.
G S Romo-CárdenasBlueriver, Professional Services, Shutan Medina 139A, Mérida, 97133, Mexico.
J D Sánchez-LópezFacultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Carretera Transpeninsular Ensenada-Tijuana Número 3917, Colonia Playitas 22860, Ensenada, Baja California, Mexico.
M Vázquez-BriseñoFacultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Carretera Transpeninsular Ensenada-Tijuana Número 3917, Colonia Playitas 22860, Ensenada, Baja California, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the initial steps in the preprocessing of digital fundoscopy images is the identification of pixels containing relevant information. This can be achieved through different approaches, one of them is implementing background extraction, reducing the set of pixels to be analyzed later in the process. In this work, we present a background extraction method for digital fundoscopy images based on computational topology. By interpreting binarized images as cubical complexes and extracting their homological groups in 1 and 2 dimensions we identify a subset of luminescence values that can be used to binarize the original grayscale image, obtaining a mask to achieve background extraction. This method is robust to noise and suboptimal image quality, facilitating the analytical pipeline in the context of computer aided diagnosis approaches. This method facilitates the segmentation of the background of a digital fundoscopy image, which allows further methods to focus on pixels with relevant information (eye fundus). This tool is best suited to be implemented in the preprocessing stages of the analytical pipeline by computational ophthalmology specialists.•It is robust to noise and low-quality images.•Output provides an ideal scenario for down-the-line analysis by facilitating only relevant pixels in a digital fundoscopy.

Indexed as

Computational homologyDigital fundoscopyDynamic rangeForeground selectionTopology Regulated Background Extraction for Digital Fundoscopy (TRBE)

Identifiers

PMID38585179
PMCPMC10995967

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.