Dual Input Scintigraphy Image-based Fused Deep Neural Networks for Bone Abnormalities Detection and Differentiation-Reference-Cited by-同舟云学术

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Dual Input Scintigraphy Image-based Fused Deep Neural Networks for Bone Abnormalities Detection and Differentiation

Published:2021-10-16 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
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Author:

Hajianfar Ghasem¹,Sabouri Maziar¹,Bagheri Soroush²,Salimi Yazdan³,Oveisi Mehrdad⁴,Shiri Isaac³,Zaidi Habib³

Affiliation:

1. Iran University of Medical Science,Rajaie Cardiovascular Medical and Research Center,Tehran,Iran

2. Kashan University of Medical Sciences,Department of Medical Physics,Kashan,Iran

3. Geneva University Hospital,Division of Nuclear Medicine and Molecular Imaging,Geneva,Switzerland

4. Kings College London,London,United Kingdom

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9875398/9875424/09875765.pdf?arnumber=9875765

Reference22 articles.

1. Personalized brachytherapy dose reconstruction using deep learning

2. Deep Learning-based Automated Delineation of Head and Neck Malignant Lesions from PET Images

3. Automatic fetal biometry prediction using a novel deep convolutional network architecture;oghli;(in eng) Med Eng Phys,2021

4. Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging

5. Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging

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