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Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial
  Networks

Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks

IEEE Access (IEEE Access), 2020
12 September 2020
Faizan Munawar
Shoaib Azmat
Talha Iqbal
C. Grönlund
Hazrat Ali
    GANMedIm
ArXiv (abs)PDFHTML

Papers citing "Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks"

9 / 9 papers shown
Title
Underestimation of lung regions on chest X-ray segmentation masks
  assessed by comparison with total lung volume evaluated on computed
  tomography
Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography
Przemyslaw Bombiñski
P. Szatkowski
Bartlomiej Sobieski
Tymoteusz Kwieciñski
Szymon Płotka
Mariusz Adamek
Marcin Banasiuk
Mariusz I. Furmanek
P. Biecek
137
0
0
18 Feb 2024
Spot the fake lungs: Generating Synthetic Medical Images using Neural
  Diffusion Models
Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion ModelsIrish Conference on Artificial Intelligence and Cognitive Science (IAICS), 2022
Hazrat Ali
Shafaq Murad
Zubair Shah
DiffMMedIm
257
62
0
02 Nov 2022
Implementation of a Modified U-Net for Medical Image Segmentation on
  Edge Devices
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices
Owais Ali
Hazrat Ali
S. A. A. Shah
A. Shahzad
SSeg
137
37
0
06 Jun 2022
Combating COVID-19 using Generative Adversarial Networks and Artificial
  Intelligence for Medical Images: A Scoping Review
Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping ReviewJMIR Medical Informatics (JMIR Med Inform), 2022
Hazrat Ali
Zubair Shah
MedIm
120
18
0
15 May 2022
Debiasing pipeline improves deep learning model generalization for X-ray
  based lung nodule detection
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
M. J. Horry
Subrata Chakraborty
B. Pradhan
M. Paul
Jing Zhu
H. Loh
P. Barua
Usha R. Acharya
AI4CE
157
8
0
24 Jan 2022
Data synthesis and adversarial networks: A review and meta-analysis in
  cancer imaging
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala
Kaisar Kushibar
Lidia Garrucho
Akis Linardos
Zuzanna Szafranowska
Stefan Klein
Ben Glocker
Oliver Díaz
Karim Lekadir
MedIm
321
56
0
20 Jul 2021
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic
  Disease Classification in Chest X-rays
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-raysIEEE journal of biomedical and health informatics (JBHI), 2021
Uday Kamal
Mohammad Zunaed
N. Nizam
Taufiq Hasan
195
37
0
10 Jun 2021
Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs
  Including Severely Unhealthy Images
Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy ImagesBiomedical Signal Processing and Control (BSPC), 2020
Anushikha Singh
Brejesh Lall
B. K. Panigrahi
A. Agrawal
Anurag Agrawal
D. Christopher
B. Thangakunam
98
23
0
19 Nov 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep
  Learning
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
F. Shan
Yaozong Gao
Jun Wang
Weiya Shi
N. Shi
Miaofei Han
Zhong Xue
Dinggang Shen
Yuxin Shi
458
583
0
10 Mar 2020
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