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基于深层卷积残差网络集成的黑色素瘤分类方法 (Melanoma Classification Method by Integrating Deep Convolutional Residual Network)., , , , и . 计算机科学, 46 (5): 247-253 (2019)Adaptively Customizing Activation Functions for Various Layers., , , , , , и . IEEE Trans. Neural Networks Learn. Syst., 34 (9): 6096-6107 (сентября 2023)TDRConv: Exploring the Trade-off Between Feature Diversity and Redundancy for a Compact CNN Module., , , , , и . ICIC (4), том 14089 из Lecture Notes in Computer Science, стр. 333-344. Springer, (2023)Exploring Optimal Adaptive Activation Functions for Various Tasks., , , , , и . BIBM, стр. 2290-2297. IEEE, (2020)Deep k-Space Partition-Based Convolutional Networks for Fast Multimodal MRI Reconstruction., , , , и . BIBM, стр. 1280-1285. IEEE, (2023)MC-Unet: Multi-scale Convolution Unet for Bladder Cancer Cell Segmentation in Phase-Contrast Microscopy Images., , , , , и . BIBM, стр. 1197-1199. IEEE, (2019)Residual-Recursion Autoencoder for Shape Illustration Images., , , , , и . CoRR, (2020)Model-based compromise control of greenhouse climate using pareto optimization., , и . GEC Summit, стр. 217-222. ACM, (2009)Generative Adversarial Networks in Medical Image augmentation: A review., , , , , , , , , и . Comput. Biol. Medicine, (2022)Cancer Cells Detection in Phase-Contrast Microscopy Images Based on Faster R-CNN., , , , и . ISCID (1), стр. 363-367. IEEE, (2016)