Monday, 02 July 2018 15:15
CT textural and shape features as prognostic indicators for NSCLC
Intense research is being conducted throughout the world to identify biomarkers seen on computed tomography (CT) imaging that can help predict prognoses in patients with non-small-cell lung cancer (NSCLC). Such biomarkers could help improve and personalize treatment plans for patients. A team of radiologists, engineers, and biomedical specialists at the University of Perugia evaluated 30 three-dimensional shape and textural CT-derived features as potential biomarkers predictive of overall survival of 203 NSCLC patients. Find out more.
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Research
Monday, 25 April 2016 16:06
Ranklets: Orientation selective non-parametric features for image analysis
Ranklets: Orientation selective non-parametric features for image analysis
Dr. Fabrizio Smeraldi (Queen Mary, University of London)
Department Of Engineering, Aula Magna, 04 May 2016, 4pm
Dr. Fabrizio Smeraldi (Queen Mary, University of London)
Department Of Engineering, Aula Magna, 04 May 2016, 4pm
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Research
Tuesday, 07 April 2015 11:34
CTMR15
The Workshop on Color and Texture in Material Recognition will take place in Genoa, Italy, in conjunction with the 18th International Conference on Image Analysis and Processing (ICIAP), Sept. 7-11, 2015. The workshop will cover different areas of image processing including colour and texture analysis, material perception, remote sensing, medical imaging and industrial inspection. Deadline for paper submission: June 3, 2015.
Published in
Research
