Litcius/Paper detail

RDA-UNET-WGAN: An Accurate Breast Ultrasound Lesion Segmentation Using Wasserstein Generative Adversarial Networks

Anuja Negi, Alex Noel Joseph Raj, Ruban Nersisson, Zhemin Zhuang, M. Murugappan

2020Arabian Journal for Science and Engineering77 citationsDOI

Topics & Concepts

DiscriminatorSegmentationComputer scienceArtificial intelligencePattern recognition (psychology)ResidualDeep learningBreast ultrasoundClassifier (UML)False positive paradoxMammographyBreast cancerAlgorithmMedicineCancerDetectorInternal medicineTelecommunicationsAI in cancer detectionRadiomics and Machine Learning in Medical ImagingBrain Tumor Detection and Classification
RDA-UNET-WGAN: An Accurate Breast Ultrasound Lesion Segmentation Using Wasserstein Generative Adversarial Networks | Litcius