Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Automated Macular Health Screening via Deep Learning

Automated Macular Health Screening via Deep Learning

Anil Kumar, Neelapala

Paperback

Medical Reference

ISBN10: 6209044638
ISBN13: 9786209044632
Publisher: LAP Lambert Academic Publishing
Published: Sep 29 2025
Pages: 76
Weight: 0.25
Height: 0.18 Width: 6.00 Depth: 9.00
Language: English
This book details the development of a deep learning model to automate the detection of diabetic maculopathy (DM), a leading cause of vision loss. Traditionally, diagnosing DM from retinal images is a time-consuming manual process. Using a MobileNet model trained on the Asia Pacific Tele-Ophthalmology Society (APTOS) dataset from Kaggle, the system can classify fundus images into different stages of DM severity. The significant step toward using AI for the automated diagnosis of diabetic eye diseases, with focus on testing the model in real-world clinical settings and adding explainability to its predictions to increase trust and understanding. This advancement highlights the growing role of deep learning in improving healthcare outcomes for diabetic patients.

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