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FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention.

, , , , , , , , and . IEEE Access, (2019)

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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)Segmentation of Regions of Interest Using Active Contours with SPF Function., , , and . Comput. Math. Methods Medicine, (2015)Multipass Active Contours for an Adaptive Contour Map., , , , and . Sensors, 13 (3): 3724-3738 (2013)Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation., , , , , , and . CoRR, (2019)Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism., , , , , , and . IEEE Access, (2019)Analysis of Temporal Coherence in Videos for Action Recognition., , , , and . ICIAR, volume 9730 of Lecture Notes in Computer Science, page 325-332. Springer, (2016)MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network., , , , , , , , , and 1 other author(s). CoRR, (2019)Active contours for intensity inhomogeneous image segmentation.. University of Rovira i Virgili, Spain, (2017)Brain MR Image Segmentation Using Multiphase Active Contours Based on Local and Global Fitted Images., , , , and . CCIA, volume 308 of Frontiers in Artificial Intelligence and Applications, page 325-334. IOS Press, (2018)