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Different from handcrafted features, deep neural networks can automatically learn task-specific features from data.
Single path one-shot neural architecture search with uniform sampling
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Deep learning
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U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O., Fischer, P., & Brox, T. (2015) · 2015
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Designing neural network architectures using reinforcement learning
Baker, B., Gupta, O., Naik, N., & Raskar, R. (2016) · 2016
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016
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Pruning filters for efficient convnets
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Vessel detection in ultrasound images using deep convolutional neural networks
Smistad, E., & Løvstakken, L. (2016) · 2016
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Neural architecture search with reinforcement learning
Zoph, B., & Le, Q. V. (2016) · 2016
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Rethinking atrous convolution for semantic image segmentation
Chen, L.-C., Papandreou, G., Schroff, F., & Adam, H. (2017) · 2017
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Transfer learning with convolutional neural networks for classification of abdominal ultrasound images
Cheng, P. M., & Malhi, H. S. (2017) · 2017
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Thyroid nodule classification in ultrasound images by fine-tuning deep convolutional neural network
Chi, J., Walia, E., Babyn, P., Wang, J., Groot, G., & Eramian, M. (2017) · 2017
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Nas-fpn: Learning scalable feature pyramid architecture for object detection
Ghiasi, G., Lin, T.-Y., & Le, Q. V. (2019) · 2019
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He, K., Girshick, R., & Dollár, P. (2019) · 2019
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Scalable neural architecture search for 3d medical image segmentation
Kim, S., Kim, I., Lim, S., Baek, W., Kim, C., Cho, H., Yoon, B., & Kim, T. (2019) · 2019
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Cr-unet: A composite network for ovary and follicle segmentation in ultrasound images
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Regularized evolution for image classifier architecture search
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Use-net: Incorporating squeeze-and-excitation blocks into u-net for prostate zonal segmentation of multi-institutional mri datasets
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Deep learning with spatiotemporal consistency for nerve segmentation in ultrasound images
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Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images
Ma, J., Wu, F., Jiang, T., Zhu, J., & Kong, D. (2017) · 2017
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Large-scale evolution of image classifiers
Real, E., Moore, S., Selle, A., Saxena, S., Suematsu, Y. L., Tan, J., Le, Q., & Kurakin, A. (2017) · 2017
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Genetic cnn
Xie, L., & Yuille, A. (2017) · 2017
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Aggregated residual transformations for deep neural networks
Xie, S., Girshick, R., Dollár, P., Tu, Z., & He, K. (2017) · 2017
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Cai, H., Zhu, L., & Han, S. (2018) · 2018
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Encoder-decoder with atrous separable convolution for semantic image segmentation
Chen, L.-C., Zhu, Y., Papandreou, G., Schroff, F., & Adam, H. (2018) · 2018
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Rundo, L., Han, C., Nagano, Y., Zhang, J., Hataya, R., Militello, C., Tangherloni, A., Nobile, M. S., Ferretti, C., Besozzi, D. et al. (2019) · 2019
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Gated-scnn: Gated shape cnns for semantic segmentation
Takikawa, T., Acuna, D., Jampani, V., & Fidler, S. (2019) · 2019
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Unet++: Redesigning skip connections to exploit multiscale features in image segmentation
Zhou, Z., Siddiquee, M. M. R., Tajbakhsh, N., & Liang, J. (2019) · 2019
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V-nas: Neural architecture search for volumetric medical image segmentation
Zhu, Z., Liu, C., Yang, D., Yuille, A., & Xu, D. (2019) · 2019
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Unet 3+: A full-scale connected unet for medical image segmentation
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Neural architecture search for skin lesion classification
Kwasigroch, A., Grochowski, M., & Mikołajczyk, A. (2020) · 2020
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Deep multilayer fusion dense network for hyperspectral image classification
Li, Z., Wang, T., Li, W., Du, Q., Wang, C., Liu, C., & Shi, X. (2020) · 2020
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Clinical ultrasound image standardization using histogram specification
Roy, R., Ghosh, S., & Ghosh, A. (2020) · 2020
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Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework
Singh, V. K., Abdel-Nasser, M., Akram, F., Rashwan, H. A., Sarker, M. M. K., Pandey, N., Romani, S., & Puig, D. (2020) · 2020
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Nas-fcos: Fast neural architecture search for object detection
Wang, N., Gao, Y., Chen, H., Wang, P., Tian, Z., Shen, C., & Zhang, Y. (2020) · 2020
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High-performance large-scale image recognition without normalization
Brock, A., De, S., Smith, S. L., & Simonyan, K. (2021) · 2021
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Genetic neural architecture search for automatic assessment of human sperm images
Miahi, E., Mirroshandel, S., & Nasr, A. (2021) · 2021
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Searching collaborative agents for multi-plane localization in 3d ultrasound
Yang, X., Huang, Y., Huang, R., Dou, H., Li, R., Qian, J., Huang, X., Shi, W., Chen, C., Zhang, Y. et al. (2021) · 2021
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3d multi-view tumor detection in automated whole breast ultrasound using deep convolutional neural network
Zhou, Y., Chen, H., Li, Y., Wang, S., Cheng, L., & Li, J. (2021) · 2021
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