COVID TV-Unet: Segmenting COVID-19 chest CT images using connectivity imposed Unet

[1]  Nandhini Subramanian,et al.  An encoder-decoder-based method for COVID-19 lung infection segmentation , 2020, ArXiv.

[2]  Sittichai Tantipasawasin.  Coronavirus disease (COVID-19) Pandemic , 2020 .

[3]  Zhiqiang He,et al.  Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation , 2020, ArXiv.

[4]  R. Kafieh,et al.  COVID-19 in Iran: A Deeper Look Into The Future , 2020, medRxiv.

[5]  D.-P. Fan,et al.  Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images , 2020, IEEE Transactions on Medical Imaging.

[6]  Milan Sonka,et al.  Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning , 2020, Medical Image Analysis.

[7]  Jun Zhou,et al.  Chest CT findings of COVID-19 pneumonia by duration of symptoms , 2020, European Journal of Radiology.

[8]  Ming-Ming Cheng,et al.  JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation , 2020, IEEE Transactions on Image Processing.

[9]  T. Fan,et al.  CT imaging and clinical course of asymptomatic cases with COVID-19 pneumonia at admission in Wuhan, China , 2020, Journal of Infection.

[10]  S. Balakrishnan,et al.  Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients. , 2020, AJR. American journal of roentgenology.

[11]  G. Remuzzi,et al.  COVID-19 and Italy: what next? , 2020, The Lancet.

[12]  D. Shen,et al.  Lung Infection Quantification of COVID-19 in CT Images with Deep Learning , 2020, ArXiv.

[13]  Yicheng Fang,et al.  Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR , 2020, Radiology.

[14]  Catharine I Paules,et al.  Coronavirus Infections-More Than Just the Common Cold. , 2020, JAMA.

[15]  Antonio J. Plaza,et al.  Image Segmentation Using Deep Learning: A Survey , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  Shervin Minaee,et al.  Biometric Recognition Using Deep Learning: A Survey , 2019, ArXiv.

[17]  Yunchao Wei,et al.  CCNet: Criss-Cross Attention for Semantic Segmentation , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[18]  Nima Tajbakhsh,et al.  UNet++: A Nested U-Net Architecture for Medical Image Segmentation , 2018, DLMIA/ML-CDS@MICCAI.

[19]  George Papandreou,et al.  Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.

[20]  Sébastien Ourselin,et al.  Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations , 2017, DLMIA/ML-CDS@MICCAI.

[21]  Shervin Minaee,et al.  An ADMM Approach to Masked Signal Decomposition Using Subspace Representation , 2017, IEEE Transactions on Image Processing.

[22]  Roberto Cipolla,et al.  SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[23]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[24]  Jian Sun,et al.  Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[25]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[26]  Trevor Darrell,et al.  Fully convolutional networks for semantic segmentation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[27]  Wen Gao,et al.  Group-Based Sparse Representation for Image Restoration , 2014, IEEE Transactions on Image Processing.

[28]  Matthew D. Zeiler.  ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.

[29]  Yoram Singer,et al.  Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..

[30]  Liu Qing,et al.  Automated image segmentation using improved PCNN model based on cross-entropy , 2004, Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2004..

[31]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[32]  T. Tabuchi,et al.  Coronavirus Disease , 2021, Encyclopedia of the UN Sustainable Development Goals.

[33]  Daniel Rueckert,et al.  Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II , 2017, Lecture Notes in Computer Science.

[34]  M. Nikolova.  An Algorithm for Total Variation Minimization and Applications , 2004 .

[35]  J. van Leeuwen,et al.  Neural Networks: Tricks of the Trade , 2002, Lecture Notes in Computer Science.

[36]  Lutz Prechelt,et al.  Early Stopping-But When? , 1996, Neural Networks: Tricks of the Trade.