Anterior mediastinal nodular lesion segmentation from chest computed tomography imaging using UNet based neural network with attention mechanisms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17210-y.pdf
Reference41 articles.
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2. Yoon SH, Choi SH, Kang CH, Goo JM (2018) Incidental anterior mediastinal nodular lesions on chest CT in asymptomatic subjects. J Thorac Oncol 13(3):359–366. https://doi.org/10.1016/j.jtho.2017.11.124
3. Munden RF, Carter BW, Chiles C, MacMahon H, Black WC, Ko JP, McAdams HP, Rossi SE, Leung AN, Boiselle PM, Kent MS, Brown K, Dyer DS, Hartman TE, Goodman EM, Naidich DP, Kazerooni EA, Berland LL, Pandharipande PV (2018) Managing incidental findings on thoracic CT: Mediastinal and cardiovascular findings. A white paper of the ACR incidental findings committee. J Am Coll Radiol 15(8):1087–1096. https://doi.org/10.1016/j.jacr.2018.04.029
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5. Roth HR, Lu L, Liu J, Yao J, Seff A, Cherry K, Kim L, Summers RM (2016) Improving computer-aided detection using convolutional neural networks and random view aggregation. IEEE Trans Med Imaging 35(5):1170–1181. https://doi.org/10.1109/TMI.2015.2482920
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