Back to search

Article

Cross-Modal Synthetic Augmentation for Robust Thermal Dermatology on Edge Devices

2026-03-02

Abstract excerpt

This paper introduces a novel framework for realtime dermatological condition detection using low-cost thermal imaging on edge devices. The core challenge addressed is the severe scarcity of annotated thermal medical data required for training deep learning models. We propose a three-phase pipeline: first, a cross-modal Generative Adversarial Network (GAN) synthesizes high-fidelity pseudo-thermal images from abund...

Topics

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

Identifiers and source

Literature Corpus work
8a522269-6883-57ed-b853-d0dfc19465bb
DOI
10.22541/au.177247901.15260167/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.
Cross-Modal Synthetic Augmentation for Robust Thermal Dermatology on Edge DevicesDOI 10.22541/au.177247901.15260167/v1
Select a neighboring publication to make it the new centre.