Adversarial Deep Structural Networks for Mammographic Mass Segmentation

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Cited alongside, same era.

Dhungel, N., Carneiro, G., Bradley, A.P.: Deep learning and structured prediction for the segmentation of mass in mammograms. In: MICCAI. Springer (2015)

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Cited alongside, same era.

Dhungel, N., Carneiro, G., Bradley, A.P.: Deep structured learning for mass segmentation from mammograms. In: ICIP. IEEE (2015)

2015

Cited alongside, same era.

Dhungel, N., Carneiro, G., Bradley, A.P.: Tree re-weighted belief propagation using deep learning potentials for mass segmentation from mammograms. In: ISMI. IEEE (2015)

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2015

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Greenspan, H., van Ginneken, B., Summers, R.M.: Guest editorial deep learning in medical imaging: Overview and future promise of an exciting new technique. IEEE TMI (2016)

2016

Closest in time.

Jiang, M., Zhang, S., Zheng, Y., Metaxas, D.N.: Mammographic mass segmentation with online learned shape and appearance priors. In: MICCAI. pp. 35–43. Springer (2016)

2016

Closest in time.

Kallenberg, M., Petersen, K., Nielsen, M., et al.: Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring. IEEE TMI (2016)