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Keyword

lung segmentation

Description: Image-processing methods that identify and delineate lung regions in medical images, especially computed tomography, magnetic resonance, and chest radiography.
OpenAlex ID: keywords/lung-segmentation
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
2019 · Zaiwang Gu, Jun Cheng, et al. · IEEE Transactions on Medical Imaging · 2,389
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A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
2020 · Chuansheng Zheng, Xianbo Deng, et al. · IEEE Transactions on Medical Imaging · 1,243
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Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
2021 · Tawsifur Rahman, Amith Khandakar, et al. · Computers in Biology and Medicine · 1,148
Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images
2001 · S. Hu, E.A. Hoffman, et al. · IEEE Transactions on Medical Imaging · 940
Automatic Tuberculosis Screening Using Chest Radiographs
2013 · Stefan Jaeger, Alexandros Karargyris, et al. · IEEE Transactions on Medical Imaging · 684
Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration
2013 · Sema Candemir, Stefan Jaeger, et al. · IEEE Transactions on Medical Imaging · 675
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization
2020 · Tawsifur Rahman, Amith Khandakar, et al. · IEEE Access · 654
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Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
2020 · Johannes Hofmanninger, Forian Prayer, et al. · European Radiology Experimental · 605
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Active shape model segmentation with optimal features
2002 · B. van Ginneken, A.F. Frangi, et al. · IEEE Transactions on Medical Imaging · 529
A new computationally efficient CAD system for pulmonary nodule detection in CT imagery
2010 · Temesguen Messay, Russell C. Hardie, et al. · Medical Image Analysis · 439
DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
2016 · Martin Rajchl, Matthew C. H. Lee, et al. · IEEE Transactions on Medical Imaging · 408
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Transformers in medical image segmentation: A review
2023 · Hanguang Xiao, Li Li, et al. · Biomedical Signal Processing and Control · 393
Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study
2018 · Simon L F Walsh, Lucio Calandriello, et al. · The Lancet Respiratory Medicine · 390
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT
2020 · Harrison X. Bai, Robin Wang, et al. · Radiology · 381
Computerized Detection of Pulmonary Nodules on CT Scans
1999 · Samuel G. Armato, Maryellen L. Giger, et al. · Radiographics · 380
Lung cancer classification using neural networks for CT images
2013 · Jinsa Kuruvilla, K. Gunavathi · Computer Methods and Programs in Biomedicine · 367
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection
2020 · Muhammet Fatih Aslan, Muhammed Fahri Unlersen, et al. · Applied Soft Computing · 355
CT-based geometry analysis and finite element models of the human and ovine bronchial tree
2004 · Merryn H. Tawhai, Peter Hunter, et al. · Journal of Applied Physiology · 348
Lung Cancer Detection and Classification with 3D Convolutional Neural Network (3D-CNN)
2017 · Wafaa Alakwaa, Mohammad Nassef, et al. · International Journal of Advanced Computer Science and Applications · 326
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Med3D: Transfer Learning for 3D Medical Image Analysis
2019 · Chen, Sihong, Ma, Kai, et al. · arXiv (Cornell University) · 318
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Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computer‐aided diagnosis system
2002 · Metin N. Gurcan, Berkman Sahiner, et al. · Medical Physics · 309
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Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images
2009 · Xujiong Ye, Xinyu Lin, et al. · IEEE Transactions on Biomedical Engineering · 297
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation
2019 · Zhijie Zhang, Huazhu Fu, et al. · Lecture notes in computer science · 295
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Automatic, three-segment, MR-based attenuation correction for whole-body PET/MR data
2010 · V. Schulz, I. Torres-Espallardo, et al. · European Journal of Nuclear Medicine and Molecular Imaging · 292
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
2021 · Dong Yang, Ziyue Xu, et al. · Medical Image Analysis · 278
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Works count: 4,353
Citation count: 57,430
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