RDA-UNET-WGAN: An Accurate Breast Ultrasound Lesion Segmentation Using Wasserstein Generative Adversarial Networks
Anuja NegiResearch Intern, Key Laboratory of Digital Signal and Image Processing of Guangdong Province, Department of Electronics Engineering, College of Engineering, Shantou University, Shantou, 515063, ChinaAlex Noel Joseph RajKey Laboratory of Digital Signal and Image Processing of Guangdong Province, Department of Electronics Engineering, College of Engineering, Shantou University, Shantou, 515063, ChinaRuban NersissonSchool of Electrical Engineering, Vellore Institute of Technology, Vellore, IndiaZhemin ZhuangKey Laboratory of Digital Signal and Image Processing of Guangdong Province, Department of Electronics Engineering, College of Engineering, Shantou University, Shantou, 515063, ChinaM. MurugappanDepartment of Electronics and Communication Engineering, Kuwait College of Science and Technology, Doha, 13133, Kuwait
2020en
ABI
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Cited by 20 references