Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images

Author(s):  
Mayalen Etcheverry ◽  
Bogdan Georgescu ◽  
Benjamin Odry ◽  
Thomas J. Re ◽  
Shivam Kaushik ◽  
...  
2021 ◽  
pp. 155-165
Author(s):  
Wenhui Lei ◽  
Wei Xu ◽  
Ran Gu ◽  
Hao Fu ◽  
Shaoting Zhang ◽  
...  

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.


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