Results 31 to 40 of about 396,477 (272)
Registration and analysis for images couple : Application to mammograms
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2014 In this thesis, the problem addressed is the development of a computer-aided diagnosis system (CAD) based on conjoint analysis of several images, and therefore on the comparison of these medical images.
Arnaud Boucher
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Dimensionality reduction of medical image descriptors for multimodal image registration
Current Directions in Biomedical Engineering, 2015 Defining similarity forms a challenging and relevant research topic in multimodal image registration. The frequently used mutual information disregards contextual information, which is shared across modalities.
Degen Johanna +2 more
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Locally Orderless Registration [PDF]
, 2012 Image registration is an important tool for medical image analysis and is used to bring images into the same reference frame by warping the coordinate field of one image, such that some similarity measure is minimized.
Darkner, Sune, Sporring, Jon
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Regmentation: A New View of Image Segmentation and Registration [PDF]
, 2012 Image segmentation and registration have been the two major areas of research in the medical imaging community for decades and still are. In the context of radiation oncology, segmentation and registration methods are widely used for target structure ...
Erdt, Marius +2 more
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Medical Image Registration Incorporating Deformations. [PDF]
Procedings of the British Machine Vision Conference 1995, 1995 Multiple sources of 3D medical image data can be used to construct detailed patient representations. Typically registration is achieved assuming the validity of rigid body transformation. In many applications, and in particular when updating representations used for guidance during surgery and therapeutic interventions, this assumption is inappropriate.
PJ Edwards +4 more
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Scientific Reports, 2022 In the registration of medical images, nonrigid registration targets, images with large displacement caused by different postures of the human body, and frequent variations in image intensity due to physiological phenomena are substantial problems that ...
Hao-Jen Wang +4 more
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, 2009 This book constitutes the refereed proceedings of the 18th Scandinavian Conference on Image Analysis, SCIA 2013, held in Espoo, Finland, in June 2013. The 67 revised full papers presented were carefully reviewed and selected from 132 submissions.
B. Coleman +9 more
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2D/3D Multimode Medical Image Registration Based on Normalized Cross-Correlation
Applied Sciences, 2022 Image-guided surgery (IGS) can reduce the risk of tissue damage and improve the accuracy and targeting of lesions by increasing the surgery’s visual field.
Shan Liu +5 more
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A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration
, 2018 Image registration, the process of aligning two or more images, is the core technique of many (semi-)automatic medical image analysis tasks. Recent studies have shown that deep learning methods, notably convolutional neural networks (ConvNets), can be ...
Berendsen, Floris F. +5 more
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The Influence of Intensity Standardization on Medical Image Registration
, 2010 Acquisition-to-acquisition signal intensity variations (non-standardness) are inherent in MR images. Standardization is a post processing method for correcting inter-subject intensity variations through transforming all images from the given image gray ...
Bagci, Ulas, Bai, Li, Udupa, Jayaram K.
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