Results 301 to 310 of about 730,204 (345)

Mathematics of Digital Images

2006
Compression, restoration and recognition are three of the key components of digital imaging. The mathematics needed to understand and carry out all these components are explained here in a style that is at once rigorous and practical with many worked examples, exercises with solutions, pseudocode, and sample calculations on images.
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Public Image of Mathematics

1998
The public image of mathematics is not of the best. The work of mathematicians and to a certain extent the work of computer scientists is not considered as an important contribution to our civilisation. Even in countries like France where mathematics enjoyed a higher reputation than elsewhere, things have changed.
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Mathematical Morphology for Binary Images

2021
Mathematical morphology is a mathematical tool for analyzing images based on morphology (Serra 1982).
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Sexual health among adolescent and young adult cancer survivors: A scoping review from the Children's Oncology Group Adolescent and Young Adult Oncology Discipline Committee

Ca-A Cancer Journal for Clinicians, 2021
Brooke Cherven, Sharon L Bober, Kristin M Bingen   +2 more
exaly  

Mathematical Image Processing

2018
Kristian Bredies, Dirk Lorenz
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Image Processing: Mathematics

2006
G. Aubert, P. Kornprobst
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Automated molecular-image cytometry and analysis in modern oncology

Nature Reviews Materials, 2020
Ralph Weissleder, Hakho Lee
exaly  

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods, 2020
Fabian Isensee, Paul F Jaeger, Simon A A Kohl   +2 more
exaly  

Mathematical methods in imaging

IEEE Signal Processing Magazine, 2002
A.O. Hero, H. Krim
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Ultrafast machine vision with 2D material neural network image sensors

Nature, 2020
Lukas Mennel, Joanna Symonowicz, Stefan Wachter   +2 more
exaly