A Competition for the Diagnosis of Myopic Maculopathy by Artificial Intelligence Algorithms.

ABSTRACT:

Importance

Myopic maculopathy (MM) is a major cause of vision impairment globally. Artificial intelligence (AI) and deep learning (DL) algorithms for detecting MM from fundus images could potentially improve diagnosis and assist screening in a variety of health care settings.

Objectives

To evaluate DL algorithms for MM classification and segmentation and compare their performance with that of ophthalmologists.

Design, setting, and participants

The Myopic Maculopathy Analysis Challenge (MMAC) was an international competition to develop automated solutions for 3 tasks: (1) MM classification, (2) segmentation of MM plus lesions, and (3) spherical equivalent (SE) prediction. Participants were provided 3 subdatasets containing 2306, 294, and 2003 fundus images, respectivel

SUBMITTER: Qian B 

PROVIDER: S-EPMC11428027 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature