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REFUGE CHALLENGE 2018-Task 2: Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks.

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Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network., , , , , , , , , and 1 other author(s). Expert Syst. Appl., (2020)FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention., , , , , , , , and . IEEE Access, (2019)Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation., , , , , , and . CoRR, (2019)Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network., , , , , , , , , and . CCIA, volume 300 of Frontiers in Artificial Intelligence and Applications, page 76-85. IOS Press, (2017)Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network., , , , , , , , , and 1 other author(s). CCIA, volume 308 of Frontiers in Artificial Intelligence and Applications, page 373-380. IOS Press, (2018)Mass Detection in Mammograms Using a Robust Deep Learning Model., , , , , , , , , and 1 other author(s). CCIA, volume 319 of Frontiers in Artificial Intelligence and Applications, page 365-372. IOS Press, (2019)REFUGE CHALLENGE 2018-Task 2: Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks., , , , , , and . CoRR, (2018)Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework., , , , , , , and . Expert Syst. Appl., (2020)Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks., , , , , , , , , and 1 other author(s). CoRR, (2018)Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification., , , , , , , , , and 2 other author(s). MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 833-840. Springer, (2018)