Deep adaptive registration of multi-modal prostate images

Author:

Guo Hengtao,Kruger Melanie,Xu Sheng,Wood Bradford J.,Yan Pingkun

Funder

National Institute of Biomedical Imaging and Bioengineering (NIBIB), USA

National Cancer Institute, USA

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference27 articles.

1. Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations;Azizi;Int. J. Comput. Assist. Radiol. Surg.,2017

2. Voxelmorph: a learning framework for deformable medical image registration;Balakrishnan;IEEE Trans. Med. Imaging,2019

3. Deformable image registration using convolutional neural networks;Eppenhof,2018

4. Deep learning for visual understanding: A review;Guo;Neurocomputing,2016

5. Sensorless freehand 3D ultrasound reconstruction via deep contextual learning;Guo,2020

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