---
title: "Whitepaper: Creating a veterinary pathology AI model"
description: Discover a step-by-step example of using Aiforia® Create to develop a deep learning AI model to segment the normal retina.
image: https://www.aiforia.com/hubfs/Website%20Assets/Resource%20library%20assets/Whitepaper%20assets/Whitepaper%20cover%20image%20for%20RL%20(Resource%20library)/Whitepaper_Creating%20a%20veterinary%20pathology%20AI%20model_cover%20image%20for%20RL.png
---

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# Whitepaper Creating a veterinary pathology AI model

This whitepaper provides a concrete example of developing a vet path AI model using Aiforia® Create, Aiforia's AI development tool for image analysis. It showcases easy-to-understand steps, from model planning and data collection to annotation, training, and validation. 

The example model is utilized to segment the normal retina, specifically from a rat. The retina is a highly specialized, multi-layered neural tissue responsible for vision, and its accurate segmentation is crucial for studying both normal and pathological conditions.

Establishing an AI-driven segmentation model for a normal rat retina lays the foundation for analyzing diseases like glaucoma-induced retinal atrophy and other degenerative diseases in the future.

## Authors

![Richard F_portrait_500x500px](https://www.aiforia.com/hs-fs/hubfs/Website%20Assets/Team%20Portraits/Team%20portraits_500x500px/Richard%20F_portrait_500x500px.jpg?width=150&name=Richard%20F_portrait_500x500px.jpg)

**Richard Fox, BVetMed, MRCVS, Dipl ECVP** Veterinary Pathologist

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