cGAN with atrous convolutions and channel weighting segments breast tumors in ultrasound at 93.76% Dice and 88.82% IoU, then classifies benign vs malignant at 85% accuracy using boundary shape features.
IEEE transactions on pat- tern analysis and machine intelligence 39(12), 2481–2495 (2017)
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An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning
cGAN with atrous convolutions and channel weighting segments breast tumors in ultrasound at 93.76% Dice and 88.82% IoU, then classifies benign vs malignant at 85% accuracy using boundary shape features.