Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices

Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices

The timely and accurate detection of brain tumors is crucial for effective medical intervention, especially in resource-constrained settings. This study proposes a lightweight and efficient RetinaNet variant tailored for medical edge device deployment. The model reduces computational overhead while...

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Bibliographic Details
Main Authors: Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Sabina Umirzakova, Abror Shavkatovich Buriboev, Azizjon Meliboev, Bahodir Muminov, Heung Seok Jeon
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Bioengineering
Subjects:
brain tumor detection
medical edge devices
lightweight model
medical image analysis
low-resource settings
Online Access:https://www.mdpi.com/2306-5354/12/1/62
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