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المؤلفAnsari, Mohammed Yusuf
المؤلفYang, Yin
المؤلفBalakrishnan, Shidin
المؤلفAbinahed, Julien
المؤلفAl-Ansari, Abdulla
المؤلفWarfa, Mohamed
المؤلفAlmokdad, Omran
المؤلفBarah, Ali
المؤلفOmer, Ahmed
المؤلفSingh, Ajay Vikram
المؤلفMeher, Pramod Kumar
المؤلفBhadra, Jolly
المؤلفHalabi, Osama
المؤلفAzampour, Mohammad Farid
المؤلفNavab, Nassir
المؤلفWendler, Thomas
المؤلفDakua, Sarada Prasad
تاريخ الإتاحة2023-01-11T06:37:51Z
تاريخ النشر2022-12-01
اسم المنشورScientific Reports
المعرّفhttp://dx.doi.org/10.1038/s41598-022-16828-6
الاقتباسAnsari, M.Y., Yang, Y., Balakrishnan, S. et al. A lightweight neural network with multiscale feature enhancement for liver CT segmentation. Sci Rep 12, 14153 (2022). https://doi.org/10.1038/s41598-022-16828-6
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85136923717&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/38313
الملخصSegmentation of abdominal Computed Tomography (CT) scan is essential for analyzing, diagnosing, and treating visceral organ diseases (e.g., hepatocellular carcinoma). This paper proposes a novel neural network (Res-PAC-UNet) that employs a fixed-width residual UNet backbone and Pyramid Atrous Convolutions, providing a low disk utilization method for precise liver CT segmentation. The proposed network is trained on medical segmentation decathlon dataset using a modified surface loss function. Additionally, we evaluate its quantitative and qualitative performance; the Res16-PAC-UNet achieves a Dice coefficient of 0.950 ± 0.019 with less than half a million parameters. Alternatively, the Res32-PAC-UNet obtains a Dice coefficient of 0.958 ± 0.015 with an acceptable parameter count of approximately 1.2 million.
راعي المشروعThis publication was made possible by NPRP-11S-1219-170106 from the Qatar National Research Fund (a member of Qatar Foundation). The findings herein reflect the work, and are solely the responsibility of the authors.
اللغةen
الناشرNature Research
الموضوعA lightweight neural network
liver CT segmentation
العنوانA lightweight neural network with multiscale feature enhancement for liver CT segmentation
النوعArticle
رقم العدد1
رقم المجلد12
ESSN2045-2322
dc.accessType Open Access


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