The paper reports that an adversarial attention U-Net with a combined KL-Tversky loss improves semi-supervised lung segmentation and classification on chest X-rays compared with TV and XETV losses.
In: Deep Learning in Medical Image Analysis
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Semi-Supervised Multi-Task Learning With Chest X-Ray Images
The paper reports that an adversarial attention U-Net with a combined KL-Tversky loss improves semi-supervised lung segmentation and classification on chest X-rays compared with TV and XETV losses.