Back to search

Article

Crop-OCT: a Fully Integrated Imageomics Pipeline to Identify Regional and Focal Retinopathy in Murine Models

2026-03-02

Abstract excerpt

<h4>ABSTRACT</h4> Imageomics uses machine learning to accelerate our understanding of biological traits and human disease processes. Some of the earliest imageomics applications used deep learning to assess human diseases. For example, retinal fundus images were analyzed to diagnose diabetic retinopathy. The imaging modality optical coherence tomography (OCT) is widely used to diagnose and monitor the progression...

Topics

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

Identifiers and source

Literature Corpus work
1697abbd-2ad6-5c7d-af4e-2d20e1c0302d
DOI
10.64898/2026.02.27.708333
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.
Crop-OCT: a Fully Integrated Imageomics Pipeline to Identify Regional and Focal Retinopathy in Murine ModelsDOI 10.64898/2026.02.27.708333
Select a neighboring publication to make it the new centre.