Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification

no code implementations • 25 Jan 2023 • Iván de Andrés Tamé, Kirill Sirotkin, Pablo Carballeira, Marcos Escudero-Viñolo

Deep learning technologies have already demonstrated a high potential to build diagnosis support systems from medical imaging data, such as Chest X-Ray images.

Image Classification Self-Supervised Learning

A study on the distribution of social biases in self-supervised learning visual models

no code implementations • CVPR 2022 • Kirill Sirotkin, Pablo Carballeira, Marcos Escudero-Viñolo

We show that there is a correlation between the type of the SSL model and the number of biases that it incorporates.

Model Selection Self-Supervised Learning

Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach

no code implementations • 22 Dec 2021 • Kirill Sirotkin, Marcos Escudero Viñolo, Pablo Carballeira, Juan Carlos SanMiguel

State-of-the-art deep learning approaches for skin lesion recognition often require pretraining on larger and more varied datasets, to overcome the generalization limitations derived from the reduced size of the skin lesion imaging datasets.

Lesion Classification Self-Supervised Learning +1