2 papers
cs.CV2024
Data Augmentation with Diffusion Models for Colon Polyp Localization on the Low Data Regime: How much real data is enough?
Adrian Tormos, Blanca Llauradó, Fernando Núñez +3
The scarcity of data in medical domains hinders the performance of Deep Learning models. Data augmentation techniques can alleviate that problem, but they usually rely on functiona…
cs.LG2024
Synthetic ECG Generation for Data Augmentation and Transfer Learning in Arrhythmia Classification
José Fernando Núñez, Jamie Arjona, Javier Béjar
Deep learning models need a sufficient amount of data in order to be able to find the hidden patterns in it. It is the purpose of generative modeling to learn the data distribution…