Impact of lung segmentation on the diagnosis and explanation of COVID-19
in chest X-ray images

Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images

21 September 2020

Lucas O. Teixeira

Diego Bertolini

Luiz Eduardo Soares de Oliveira

George D. C. Cavalcanti

Yandre M. G. Costa

Papers citing "Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images"

14 / 14 papers shown

Title
Explainable Artificial Intelligence for Medical Applications: A Review Qiyang Sun Alican Akman Björn Schuller 92 6 0 15 Nov 2024
K-SAM: A Prompting Method Using Pretrained U-Net to Improve Zero Shot Performance of SAM on Lung Segmentation in CXR Images Mohamed Deriche Mohammad Marufur 23 0 0 09 Oct 2024
SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction Mahbub Ul Alam Jaakko Hollmén Jón R. Baldvinsson R. Rahmani FAtt 31 1 0 16 Jul 2023
Deep learning for understanding multilabel imbalanced Chest X-ray datasets H. Liz Javier Huertas-Tato Manuel Sánchez-Montanés Javier Del Ser David Camacho SSL 22 25 0 28 Jul 2022
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image Lucy Nwosu Xiangfang Li Lijun Qian Seungchan Kim Xishuang Dong 32 3 0 27 May 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare Marissa Radensky Dustin Burson Rajya Bhaiya Daniel S. Weld 24 0 0 27 Apr 2022
CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning Filip Ślazyk Przemysław Jabłecki Aneta Lisowska Maciej Malawski Szymon Płotka FedML 20 9 0 11 Apr 2022
Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimization P. R. Bassi Sergio S J Dertkigil Andrea Cavalli AI4CE 39 27 0 01 Feb 2022
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 33 7 0 24 Jan 2022
CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images Xin Zhang Liangxiu Han Tam Sobeih Lianghao Han Nina Dempsey Symeon Lechareas A. Tridente Haoming Chen Stephen White MedIm 16 17 0 20 Oct 2021
A multi-stage GAN for multi-organ chest X-ray image generation and segmentation Giorgio Ciano P. Andreini Tommaso Mazzierli Monica Bianchini F. Scarselli GAN MedIm 26 19 0 09 Jun 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 32 2 0 04 Jan 2021
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review A. Shoeibi Marjane Khodatars M. Jafari Navid Ghassemi Delaram Sadeghi ... Z. Sani F. Khozeimeh S. Nahavandi U. Acharya Juan M Gorriz 51 178 0 16 Jul 2020
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 D. Shen Yuxin Shi 111 574 0 10 Mar 2020