Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation

23 March 2020

Papers citing "Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation"

9 / 9 papers shown

Title
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data Enric Moreu Eric Arazo Kevin McGuinness Noel E. O'Connor 38 1 0 22 Jul 2023
UNet#: A UNet-like Redesigning Skip Connections for Medical Image Segmentation Ledan Qian Xiao Zhou Yi Li Zhongyi Hu 44 5 0 24 May 2022
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review Rubaiyat Hossain Mondal Subrato Bharati Prajoy Podder 27 56 0 28 Oct 2021
Modality specific U-Net variants for biomedical image segmentation: A survey Narinder Singh Punn Sonali Agarwal SSeg 32 144 0 09 Jul 2021
Trilateral Attention Network for Real-time Medical Image Segmentation Ghada Zamzmi V. Sachdev Sameer Kiran Antani MedIm 19 2 0 17 Jun 2021
Semi-supervised Learning for COVID-19 Image Classification via ResNet Lucy Nwuso Xiangfang Li Lijun Qian Seungchan Kim Xishuang Dong 19 5 0 27 Feb 2021
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 25 1,044 0 02 Nov 2020
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net Dominik Muller Iñaki Soto Rey Frank Kramer 31 70 0 24 Jun 2020
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images Xiaocong Chen Lina Yao Yu Zhang 31 197 0 12 Apr 2020