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Dual-Stream Contrastive Latent Learning GAN for Brain Image Synthesis and Tumor Classification

2025-03-17

Abstract excerpt

Generative Adversarial Networks (GANs) prioritize pixel-level attributes over capturing the entire image distribution which is critical in image synthesis. To address this challenge, we propose (DSCLPGAN) a dual-stream generator coupled with contrastive latent projection (CLP) for the robust augmentation of MRI images. The dual- stream generator in our architecture incorporates two specialized processing pathways:...

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Literature Corpus work
25350e7c-72f1-5033-95fa-db8828176079
DOI
10.20944/preprints202503.1235.v1
Open publication

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Dual-Stream Contrastive Latent Learning GAN for Brain Image Synthesis and Tumor ClassificationDOI 10.20944/preprints202503.1235.v1
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