Apr 16, 2022 · This paper introduces an adversarial performance validation network into a 2D-to-3D segmentation framework. The classifier and performance ...
This paper introduces an adversarial performance validation network into a 2D-to-3D segmentation framework and achieves state-of-the-art accuracy on small ...
This paper introduces an adversarial performance validation network into a 2D-to-3D segmentation framework. The classifier and performance validator competition ...
Apr 16, 2022 · A novel Adversarial Performance Validator (APV) module is introduced into the pipeline to enhance the segmentation networks to generate refined ...
Jun 8, 2024 · Accurate segmentation of multiple organs in the head, neck, chest, and abdomen from medical images is an essential step in computer-aided ...
This paper introduces an adversarial performance validation network into a 2D-to-3D segmentation framework. The classifier and performance validator competition ...
MOS-GAN: A U-Net++ based GAN for multi-organ segmentation
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This model is called the Multiple Organ Segmentation Generative Adversarial Network (MOS-GAN). ... Net network, which can bring performance improvement. In ...
Though all experimental results of different organs increase after applying the APV, the validator assists the segmentation network get a larger improvement ( ...
Combining cascaded convolutional and adversarial networks strengthens the ability of deep learning pipelines to automatically delineate multiple abdominal ...
In this work, we propose an adversarial attack-based data augmentation method to improve the deep-learning-based segmentation algorithm for the delineation ...
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