Generative AI-Based Data Augmentation for Oral Lesion Classification: The PhotoMOCI Dataset and Benchmark
cs.CV, cs.AI
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/jsbroks/coco-annotator
Terminology
Sources
- Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
- Generative Adversarial Networks
- Auto-Encoding Variational Bayes
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer
- Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial Intelligence
- Red-GAN: Attacking class imbalance via conditioned generation. Yet another perspective on medical image synthesis for skin lesion dermoscopy and brain tumor MRI
- Denoising Diffusion Probabilistic Models
- Deep Unsupervised Learning using Nonequilibrium Thermodynamics
- High-Resolution Image Synthesis with Latent Diffusion Models
- LoRA: Low-Rank Adaptation of Large Language Models
- Low-Rank Adaptation for Foundation Models: A Comprehensive Review
- Augmenting medical image classifiers with synthetic data from latent diffusion models
- Diffusion models applied to skin and oral cancer classification
- GANs Conditioning Methods: A Survey
- Conditional Image Synthesis with Diffusion Models: A Survey
- Demystifying MMD GANs
- Adam: A Method for Stochastic Optimization
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