EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation

Article

Abstract: Deep learning plays a critical role in medical image segmentation. Nevertheless, manually designing

Palabras claves:

AutoML, convolutional neural networks, Hyperparameter optimization, Medical image segmentation, Multiobjective optimization, Neural Architecture Search

Autores:

Lai-Yuen S.K., Maria G. Baldeon Calisto

Fuentes:

google

scopus