Jun 30, 2022 · Abstract: Dear editor, This letter presents an automatic data augmentation algorithm for medical image segmentation.
Jun 6, 2022 · Dear editor,. This letter presents an automatic data augmentation algorithm for medical image segmentation. · References. [1] · Related Articles ...
This letter presents an automatic data augmentation algorithm for medical image segmentation. To increase the scale and diversity of medical images, we propose ...
Apr 9, 2024 · Classification of focal liver lesions in CT images using convolutional neural networks with lesion information augmented patches and synthetic ...
Mar 8, 2020 · In this paper, we propose Differentiable Automatic Data Augmentation (DADA) which dramatically reduces the cost. DADA relaxes the discrete ...
Missing: Proximal Medical Image Segmentation.
Apr 17, 2024 · This reward function assesses the validity of each augmentation transformation more accurately by introducing different information about the ...
Wang, “Differentiable automatic data augmentation by proximal update for medical image segmentation,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 7, pp. 1315 ...
This formulation allows us to apply alternative gradient-based methods to solve it, i.e. stochastic natural gradient method with adaptive step-size. To the best ...
Differentiable automatic data augmentation by proximal update for medical image segmentation.
Abstract. Data augmentation (DA) techniques aim to increase data variability, and thus train deep networks with better generalisation. The.
Missing: Proximal Segmentation.