DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation

31 May 2020

Papers citing "DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation"

22 / 22 papers shown

Title
MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation Nabil Ibtehaz Mohammad Sohel Rahman SSeg 47 1,624 0 11 Feb 2019
The Effectiveness of Data Augmentation in Image Classification using Deep Learning Luis Perez Jason Wang 77 2,786 0 13 Dec 2017
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella D. Gutman M. E. Celebi Brian Helba Michael Marchetti ... Aadi Kalloo Konstantinos Liopyris N. Mishra Harald Kittler Allan Halpern 81 2,072 0 13 Oct 2017
A note on the triangle inequality for the Jaccard distance Sven Kosub 51 222 0 08 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 493 10,305 0 16 Nov 2016
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields P. Christ M. Elshaer Florian Ettlinger S. Tatavarty Marc Bickel ... Felix O. Hofmann M. D’Anastasi Wieland H. Sommer Seyed-Ahmad Ahmadi Bjoern Menze MedIm 53 633 0 07 Oct 2016
Understanding data augmentation for classification: when to warp? S. Wong Adam Gatt V. Stamatescu Mark D Mcdonnell 80 904 0 28 Sep 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 417 18,334 0 27 May 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 649 37,806 0 20 May 2016
A guide to convolution arithmetic for deep learning Vincent Dumoulin Francesco Visin FAtt 3DH HAI 60 1,539 0 23 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 365 14,223 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 804 27,303 0 02 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.0K 15,768 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.7K 76,917 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Learning Activation Functions to Improve Deep Neural Networks Forest Agostinelli Matthew Hoffman Peter Sadowski Pierre Baldi ODL 207 474 0 21 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 416 43,589 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.5K 100,213 0 04 Sep 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 283 6,274 0 16 Dec 2013
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 274 26,168 0 11 Nov 2013
A Comprehensive Review of Image Enhancement Techniques R. Maini Himanshu Aggarwal 67 387 0 22 Mar 2010