Medical 3D reconstruction based on deep learning for healthcare

Author:

Wang Jia-Ji1,Chen Shu-Wen1,Shao Jia-Qi1,Gu Xiao-Wei1,Zhu Hui-Sheng1

Affiliation:

1. Jiangsu Second Normal University, Nanjing Jiangsu China

Funder

the open project of State Key Laboratory of Millimeter Wave, Southeast University.

Publisher

ACM

Reference24 articles.

1. Pseudo Zernike Moment and Deep Stacked Sparse Autoencoder for COVID-19 Diagnosis

2. S. V. Venkatakrishnan , K. Aditya Mohan , Amir Koushyar Ziabari and Charles A. Bouman . 2021 . Algorithm-driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches, (Early Access) . S. V. Venkatakrishnan, K. Aditya Mohan, Amir Koushyar Ziabari and Charles A. Bouman. 2021. Algorithm-driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches, (Early Access).

3. A Pilot Study on Automatic Three-Dimensional Quantification of Barrett’s Esophagus for Risk Stratification and Therapy Monitoring

4. Steven Guan , Ko-Tsung Hsu , Matthias Eyassu and Parag V. Chitnis . 2021 . Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction, (Early Access) . Steven Guan, Ko-Tsung Hsu, Matthias Eyassu and Parag V. Chitnis. 2021. Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction, (Early Access).

5. G. Huang Z. Liu Lvd Maaten and K. Q. Weinberger 2017. [IEEE 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) - Honolulu HI (2017.7.21-2017.7.26)] 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) - Densely Connected Convolutional Networks. In CVPR. G. Huang Z. Liu Lvd Maaten and K. Q. Weinberger 2017. [IEEE 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) - Honolulu HI (2017.7.21-2017.7.26)] 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) - Densely Connected Convolutional Networks. In CVPR.

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