Segmentation of Lungs COVID Infected Regions by Attention Mechanism and
Synthetic Data

Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data

19 August 2021

Parham Yazdekhasty

Zahra Nabizadeh-ShahreBabak

Papers citing "Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data"

17 / 17 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 151 30,069 0 01 Mar 2022
Bifurcated Autoencoder for Segmentation of COVID-19 Infected Regions in CT Images Parham Yazdekhasty Ali Zindari Zahra Nabizadeh-ShahreBabak Roshank Roshandel P. Khadivi N. Karimi S. Samavi 30 9 0 01 Nov 2020
COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net N. Saeedizadeh Shervin Minaee R. Kafieh Shakib Yazdani Milan Sonka 42 43 0 24 Jul 2020
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution Qingsen Yan Bo Wang Dong Gong Chuan Luo Wei Zhao Jianhuo Shen Javen Qinfeng Shi Shuo Jin Liang Zhang Zheng You 46 151 0 23 Apr 2020
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation Yu Qiu Yun-Hai Liu Shijie Li Jing Xu 34 147 0 21 Apr 2020
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation Yu-Huan Wu Shanghua Gao Jie Mei Jun Xu Deng-Ping Fan Chao Zhao Ming-Ming Cheng 44 380 0 15 Apr 2020
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism Tongxue Zhou S. Canu S. Ruan 36 54 0 14 Apr 2020
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches Md. Zahangir Alom M. M. S. Rahman Mst Shamima Nasrin T. Taha V. Asari 21 165 0 07 Apr 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images Linda Wang A. Wong OOD 76 2,493 0 22 Mar 2020
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Muhammad Shaban Ruqayya Awan M. Fraz A. Azam David R. J. Snead Nasir M. Rajpoot MedIm 38 139 0 22 Jul 2019
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images Faisal Mahmood Daniel Borders Richard J. Chen Gregory N. McKay Kevan J. Salimian Alexander S. Baras Nicholas J. Durr GAN MedIm 57 283 0 29 Sep 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 184 16,337 0 17 Jul 2018
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 289 19,560 0 21 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.2K 76,547 0 18 May 2015
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 210 10,365 0 06 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 333 43,511 0 17 Sep 2014

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