Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images

Author(s):  
Siqi Liu ◽  
Daguang Xu ◽  
S. Kevin Zhou ◽  
Sasa Grbic ◽  
Weidong Cai ◽  
...  
2021 ◽  
Author(s):  
Xinmei Fu ◽  
Zhenzhou Shao ◽  
Ying Qu ◽  
Yong Guan ◽  
Yibo Zou ◽  
...  

2020 ◽  
Vol 28 ◽  
pp. 391-399
Author(s):  
Shuchun Yu ◽  
Qi Wang ◽  
Changhai Ru ◽  
Ming Pang

Author(s):  
Sibo Qiao ◽  
Shanchen Pang ◽  
Gang Luo ◽  
Silin Pan ◽  
Taotao Chen ◽  
...  

EMJ Radiology ◽  
2020 ◽  
Author(s):  
Filippo Pesapane

Radiomics is a science that investigates a large number of features from medical images using data-characterisation algorithms, with the aim to analyse disease characteristics that are indistinguishable to the naked eye. Radiogenomics attempts to establish and examine the relationship between tumour genomic characteristics and their radiologic appearance. Although there is certainly a lot to learn from these relationships, one could ask the question: what is the practical significance of radiogenomic discoveries? This increasing interest in such applications inevitably raises numerous legal and ethical questions. In an environment such as the technology field, which changes quickly and unpredictably, regulations need to be timely in order to be relevant.  In this paper, issues that must be solved to make the future applications of this innovative technology safe and useful are analysed.


1996 ◽  
Author(s):  
Bijoy Khandheria ◽  
Marvin Mitchell ◽  
Barry Gilbert ◽  
Abdul Bengali ◽  
Kirk Garratt ◽  
...  

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