2ST-UNet: 2-Stage Training Model using U-Net for Pneumothorax Segmentation in Chest X-Rays
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Elhadj Benkhelifa | Mahmoud Al-Ayyoub | Malak Abdullah | Ayat Abedalla | M. Al-Ayyoub | E. Benkhelifa | Malak Abdullah | Ayat Abedalla
[1] Quoc V. Le,et al. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks , 2019, ICML.
[2] Tarek Khadir,et al. Deep Convolutional Neural Networks Using U-Net for Automatic Brain Tumor Segmentation in Multimodal MRI Volumes , 2018, BrainLes@MICCAI.
[3] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[4] Enhua Wu,et al. Squeeze-and-Excitation Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[7] Sebastien Ourselin,et al. Test-time augmentation with uncertainty estimation for deep learning-based medical image segmentation , 2018 .
[8] Thomas G. Dietterich,et al. Solving the Multiple Instance Problem with Axis-Parallel Rectangles , 1997, Artif. Intell..
[9] Frank Hutter,et al. SGDR: Stochastic Gradient Descent with Warm Restarts , 2016, ICLR.
[10] Brian B. Avants,et al. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) , 2015, IEEE Transactions on Medical Imaging.
[11] Konstantinos Zarogoulidis,et al. Pneumothorax: from definition to diagnosis and treatment. , 2014, Journal of thoracic disease.
[12] Mahmoud Al-Ayyoub,et al. Performance study of augmentation techniques for HEp2 CNN classification , 2018, 2018 9th International Conference on Information and Communication Systems (ICICS).
[13] Lu-Cheng Kuo,et al. Pneumothorax in the ICU: patient outcomes and prognostic factors. , 2002, Chest.
[14] Ting Li,et al. Automatic Tissue Image Segmentation Based on Image Processing and Deep Learning , 2018, BiOS.
[15] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Andrew Gordon Wilson,et al. Averaging Weights Leads to Wider Optima and Better Generalization , 2018, UAI.
[17] Max A. Viergever,et al. Interactive segmentation of abdominal aortic aneurysms in CTA images , 2004, Medical Image Anal..
[18] Nathan Cross,et al. Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs , 2019, ArXiv.
[19] Mahmoud Al-Ayyoub,et al. Will Transfer Learning Enhance ImageNet Classification Accuracy Using ImageNet-Pretrained Models? , 2019, 2019 10th International Conference on Information and Communication Systems (ICICS).
[20] J. Mongan,et al. Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study , 2018, PLoS medicine.
[21] L. R. Dice. Measures of the Amount of Ecologic Association Between Species , 1945 .
[22] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .
[24] Zhuowen Tu,et al. Aggregated Residual Transformations for Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[26] Mahmoud Al-Ayyoub,et al. A detailed comparative study of open source deep learning frameworks , 2019, ArXiv.
[27] Bram van Ginneken,et al. A survey on deep learning in medical image analysis , 2017, Medical Image Anal..
[28] P. Jaccard. THE DISTRIBUTION OF THE FLORA IN THE ALPINE ZONE.1 , 1912 .
[29] C. Strange. Pleural complications in the intensive care unit. , 1999, Clinics in chest medicine.
[30] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.