Improving Medical Images Classification with Label Noise Using Dual-Uncertainty Estimation

Author(s):  
Lie Ju ◽  
Xin Wang ◽  
Lin Wang ◽  
Dwarikanath Mahapatra ◽  
Xin Zhao ◽  
...  
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.


2012 ◽  
Vol 1 (2) ◽  
pp. 27-35 ◽  
Author(s):  
V. Kalpana ◽  
T. Surendra Nath ◽  
V. Vijaya Kishore

Author(s):  
Veturia Chiroiu ◽  
Ligia Munteanu ◽  
Rodica Ioan ◽  
Ciprian Dragne ◽  
Cristian Rugină ◽  
...  
Keyword(s):  

Author(s):  
Y.A. Hamad ◽  
K.V. Simonov ◽  
A.S. Kents

The paper considers general approaches to image processing, analysis of visual data and computer vision. The main methods for detecting features and edges associated with these approaches are presented. A brief description of modern edge detection and classification algorithms suitable for isolating and characterizing the type of pathology in the lungs in medical images is also given.


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