Back to search

Article

Enhance Eye Disease Detection using Learnable Probabilis- tic Discrete Latents in Machine Learning Architectures

2025-04-22

Abstract excerpt

<title>Abstract</title> <p>Ocular diseases, including diabetic retinopathy and glaucoma, present a significant public health challenge due to their high prevalence and potential for causing vision impairment. Early and accurate diagnosis is crucial for effective treatment and management. In recent years, deep learning models have emerged as powerful tools for analysing medical images, such as retina imaging. Howe...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7d38e00b-bdfa-53f9-bf97-88b3c03683c1
DOI
10.21203/rs.3.rs-5960996/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Enhance Eye Disease Detection using Learnable Probabilis- tic Discrete Latents in Machine Learning ArchitecturesDOI 10.21203/rs.3.rs-5960996/v1
Select a neighboring publication to make it the new centre.