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Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework
By use of the attention mechanism, the auxiliary lesion-aware network can optimize multi-scale intermediate feature maps and extract rich semantic information to improve classification and localization performance.
A novel adversarial learning strategy for medical image classification
Deep learning (DL) techniques have been extensively utilized for medical image classification.
Application of DatasetGAN in medical imaging: preliminary studies
Generative adversarial networks (GANs) have been widely investigated for many potential applications in medical imaging.
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