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Deep neural networks have been widely adopted for automatic organ segmentation from abdominal CT scans.
Krizhevsky, A., Sutskever, I., Hinton, G.: ImageNet Classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems (2012)
2012
Earlier work this paper cites.
Al-Ayyoub, M., Alawad, D., Al-Darabsah, K., Aljarrah, I.: Automatic Detection and Classification of Brain Hemorrhages. WSEAS Transactions on Computers 12(10), 395–405 (2013)
2013
Earlier work this paper cites.
Chu, C., Oda, M., Kitasaka, T., Misawa, K., Fujiwara, M., Hayashi, Y., Nimura, Y., Rueckert, D., Mori, K.: Multi-organ Segmentation based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images. International Conference on Medical Image Computing and Computer-Assisted Intervention (2013)
2013
Earlier work this paper cites.
Li, Q., Wang, J., Wipf, D., Tu, Z.: Fixed-Point Model For Structured Labeling. International Conference on Machine Learning (2013)
2013
Earlier work this paper cites.
Wang, Z., Bhatia, K., Glocker, B., Marvao, A., Dawes, T., Misawa, K., Mori, K., Rueckert, D.: Geodesic Patch-based Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (2014)
2014
Earlier work this paper cites.
Long, J., Shelhamer, E., Darrell, T.: Fully Convolutional Networks for Semantic Segmentation. Computer Vision and Pattern Recognition (2015)
2015
Cited alongside, same era.
Roth, H., Lu, L., Farag, A., Shin, H., Liu, J., Turkbey, E., Summers, R.: DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (2015)
2015
Cited alongside, same era.
Simonyan, K., Zisserman, A.: Very Deep Convolutional Networks for Large-Scale Image Recognition. International Conference on Learning Representations (2015)
2015
Cited alongside, same era.
Milletari, F., Navab, N., Ahmadi, S.: V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation. International Conference on 3D Vision (2016)
2016
Cited alongside, same era.
Roth, H., Lu, L., Farag, A., Sohn, A., Summers, R.: Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (2016)
2016
Closest in time.
Zhang, Y., Ying, M., Yang, L., Ahuja, A., Chen, D.: Coarse-to-Fine Stacked Fully Convolutional Nets for Lymph Node Segmentation in Ultrasound Images. IEEE International Conference on Bioinformatics and Biomedicine (2016)
2016
Closest in time.
Havaei, M., Davy, A., Warde-Farley, D., Biard, A., Courville, A., Bengio, Y., Pal, C., Jodoin, P., Larochelle, H.: Brain Tumor Segmentation with Deep Neural Networks. Medical Image Analysis 35, 18–31 (2017)
2017
Closest in time.
2017
Closest in time.
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