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A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study
In this study, we present a hybrid CNN-RNN approach to investigate long-term survival of subjects in a lung cancer screening study. …
Yaozhi Lu
,
Shahab Aslani
,
An Zhao
,
Ahmed H. Shahin
,
David Barber
,
Mark Emberton
,
Daniel C. Alexander
,
Joseph Jacob
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Deep Learning Based Long Term Mortality Prediction in the National Lung Screening Trial
In this study, the long-term mortality in the National Lung Screening Trial (NLST) was investigated using a deep learning-based method. …
Yaozhi Lu
,
Shahab Aslani
,
Mark Emberton
,
Daniel C. Alexander
,
Joseph Jacob
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Disentangling Human Error from Ground Truth in Segmentation of Medical Images
Recent years have seen increasing use of supervised learning methods for segmentation tasks. However, the predictive performance of …
Le Zhang
,
Ryutaro Tanno
,
Mou-Cheng Xu
,
Jin Chen
,
Joseph Jacob
,
Olga Cicarrelli
,
Frederik Barkhof
,
Daniel C. Alexander
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Learning to Pay Attention to Mistakes
In convolutional neural network based medical image segmentation, the periphery of foreground regions representing malignant tissues …
Mou-Cheng Xu
,
Neil P. Oxtoby
,
Daniel C. Alexander
,
Joseph Jacob
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