A comprehensive review of optic disc segmentation methods in adult and pediatric retinal images: from conventional methods to artificial intelligence (CR-ODSeg-AP-CM2AI)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10256890" target="_blank" >RIV/61989100:27240/25:10256890 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s10462-024-11056-y" target="_blank" >https://link.springer.com/article/10.1007/s10462-024-11056-y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10462-024-11056-y" target="_blank" >10.1007/s10462-024-11056-y</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A comprehensive review of optic disc segmentation methods in adult and pediatric retinal images: from conventional methods to artificial intelligence (CR-ODSeg-AP-CM2AI)

Popis výsledku v původním jazyce

This review, titled CR-ODSeg-AP-CM2AI (Comprehensive Review of Optic Disc Segmentation in Adult and Pediatric Retinal Images: From Conventional Methods to Artificial Intelligence), explores optic disc segmentation techniques for adult and pediatric retinal images. It emphasizes the clinical implications of these techniques in diagnosing and monitoring retinal diseases across diverse populations. We systematically categorize each segmentation method, comparing traditional approaches with advancements in artificial intelligence (AI) to highlight innovative hybrid techniques that enhance segmentation accuracy and efficiency. This review also discusses evaluation metrics and the use of larger datasets to provide insights into the effectiveness and robustness of these methods.

Název v anglickém jazyce

A comprehensive review of optic disc segmentation methods in adult and pediatric retinal images: from conventional methods to artificial intelligence (CR-ODSeg-AP-CM2AI)

Popis výsledku anglicky

This review, titled CR-ODSeg-AP-CM2AI (Comprehensive Review of Optic Disc Segmentation in Adult and Pediatric Retinal Images: From Conventional Methods to Artificial Intelligence), explores optic disc segmentation techniques for adult and pediatric retinal images. It emphasizes the clinical implications of these techniques in diagnosing and monitoring retinal diseases across diverse populations. We systematically categorize each segmentation method, comparing traditional approaches with advancements in artificial intelligence (AI) to highlight innovative hybrid techniques that enhance segmentation accuracy and efficiency. This review also discusses evaluation metrics and the use of larger datasets to provide insights into the effectiveness and robustness of these methods.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Artificial Intelligence Review

ISSN

0269-2821

e-ISSN

1573-7462

Svazek periodika

58

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

66

Strana od-do

nestránkováno

Kód UT WoS článku

001412339600001

EID výsledku v databázi Scopus

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