Automated Extraction and Description of Dark Areas in Surface Microscopy Melanocytic Lesion Images

Dermatology ◽  
2004 ◽  
Vol 208 (1) ◽  
pp. 21-26 ◽  
Author(s):  
Giovanni Pellacani ◽  
Costantino Grana ◽  
Rita Cucchiara ◽  
Stefania Seidenari
Keyword(s):  
Melanocytic Lesion ◽  
Automated Extraction ◽  
Surface Microscopy

High throughput semi-automated extraction method for the creation of a collection from microbial fermentations of fungi and Actinomycetes

Planta Medica ◽  
2008 ◽  
Vol 74 (09) ◽  
Author(s):  
JR Tormo ◽  
N Tabanera ◽  
D Conway ◽  
P Ramos ◽  
A Redondo ◽  
...  
Keyword(s):  
High Throughput ◽  
Extraction Method ◽  
Automated Extraction ◽  
The Creation

scholarly journals Shared Molecular Mechanisms of Hypertrophic Cardiomyopathy and Its Clinical Presentations: Automated Molecular Mechanisms Extraction Approach

Life ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 785
Author(s):  
Mila Glavaški ◽  
Lazar Velicki
Keyword(s):  
Cardiovascular Disease ◽  
Hypertrophic Cardiomyopathy ◽  
Open Access ◽  
Molecular Mechanisms ◽  
Scientific Literature ◽  
Automated Extraction ◽  
Clinical Presentations ◽  
Machine Reading ◽  
Pathway Databases

Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiovascular disease with a prevalence of 1 in 500 people and varying clinical presentations. Although there is much research on HCM, underlying molecular mechanisms are poorly understood, and research on the molecular mechanisms of its specific clinical presentations is scarce. Our aim was to explore the molecular mechanisms shared by HCM and its clinical presentations through the automated extraction of molecular mechanisms. Molecular mechanisms were congregated by a query of the INDRA database, which aggregates knowledge from pathway databases and combines it with molecular mechanisms extracted from abstracts and open-access full articles by multiple machine-reading systems. The molecular mechanisms were extracted from 230,072 articles on HCM and 19 HCM clinical presentations, and their intersections were found. Shared molecular mechanisms of HCM and its clinical presentations were represented as networks; the most important elements in the intersections’ networks were found, centrality scores for each element of each network calculated, networks with reduced level of noise generated, and cooperatively working elements detected in each intersection network. The identified shared molecular mechanisms represent possible mechanisms underlying different HCM clinical presentations. Applied methodology produced results consistent with the information in the scientific literature.

Automated extraction, labelling and analysis of the coronary vasculature from arteriograms

1994 ◽  
Vol 10 (3) ◽  
pp. 205-215 ◽  
Author(s):  
Adrie C. M. Dumay ◽  
Jan J. Gerbrands ◽  
Johan H. C. Reiber
Keyword(s):  
Automated Extraction ◽  
Coronary Vasculature
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