Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

The prostate, lung, colorectal and ovarian (plco) cancer screening trial of the national cancer institute: history, organization, and status

Gohagan, J.K., Prorok, P.C., Hayes, R.B., Kramer, B.S.: · 2000

Earlier work this paper cites.

Adam: A method for stochastic optimization

Kingma, D.P., Ba, J.: · 2014

Earlier work this paper cites.

ImageNet large scale visual recognition challenge

Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L.: · 2015

Earlier work this paper cites.

Deep residual learning for image recognition

He, K., Zhang, X., Ren, S., Sun, J.: · 2016

Earlier work this paper cites.

Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification

Guan, Q., Huang, Y., Zhong, Z., Zheng, Z., Zheng, L., Yang, Y.: · 2016

Cited alongside, same era.

Densely Connected Convolutional Networks

Huang, G., Zhang, L., van der Maaten, L., Weinberger, K.Q.: · 2016

Cited alongside, same era.

Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases

Wang, X., Peng, Y., Lu, L., Lu, Z., Bagheri, M., Summers, R.: · 2017

Cited alongside, same era.

Utilization trends in noncardiac thoracic imaging, 2002-2014

Kamel, S.I., Levin, D.C., Parker, L., Rao, V.M.: · 2017

Cited alongside, same era.

Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning

Original

Rajpurkar, P., Irvin, J., Zhu, K., Yang, B., Mehta, H., Duan, T., Ding, D., Bagul, A., Langlotz, C., Shpanskaya, K., et al.: · 2017

Later among the works it cites.

Learning to diagnose from scratch by exploiting dependencies among labels

Original

Yao, L., Poblenz, E., Dagunts, D., Covington, B., Bernard, D., Lyman, K.: · 2017

Later among the works it cites.

Patient-wise splits used in this work will be published on github before sep 2018

Original

***: · 2018

Closest in time.