Computational anatomy for multi-organ analysis in medical imaging: A review
The medical image analysis field has traditionally been focused on the development of
organ-, and disease-specific methods. Recently, the interest in the development of more …
organ-, and disease-specific methods. Recently, the interest in the development of more …
Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and discs in peripapillary OCT images
An accurate and automated tissue segmentation algorithm for retinal optical coherence
tomography (OCT) images is crucial for the diagnosis of glaucoma. However, due to the …
tomography (OCT) images is crucial for the diagnosis of glaucoma. However, due to the …
Strangeness enhancement at mid-rapidity in Pb-Pb collisions at 158 A GeV/c
E Andersen, F Antinori, N Armenise… - Journal of Physics G …, 1999 - iopscience.iop.org
Abstract KS 0, Λ, Ξ, Ω and negative particle h− yields and transverse mass spectra,
measured at central rapidity in p-Pb and Pb-Pb collisions at 158 A GeV/c, are presented and …
measured at central rapidity in p-Pb and Pb-Pb collisions at 158 A GeV/c, are presented and …
Fuzzy spatial relation ontology for image interpretation
The semantic interpretation of images can benefit from representations of useful concepts
and the links between them as ontologies. In this paper, we propose an ontology of spatial …
and the links between them as ontologies. In this paper, we propose an ontology of spatial …
Fuzzy sets for image processing and understanding
I Bloch - Fuzzy sets and systems, 2015 - Elsevier
Fuzzy sets for image processing and understanding - ScienceDirect Skip to main contentSkip
to article Elsevier logo Journals & Books Search RegisterSign in View PDF Download full …
to article Elsevier logo Journals & Books Search RegisterSign in View PDF Download full …
Sequential model-based segmentation and recognition of image structures driven by visual features and spatial relations
G Fouquier, J Atif, I Bloch - Computer Vision and Image Understanding, 2012 - Elsevier
A sequential segmentation framework, where objects in an image are successively
segmented, generally raises some questions about the “best” segmentation sequence to …
segmented, generally raises some questions about the “best” segmentation sequence to …
Simultaneous alignment and surface regression using hybrid 2D–3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse …
Layer segmentation is important to quantitative analysis of retinal optical coherence
tomography (OCT). Recently, deep learning based methods have been developed to …
tomography (OCT). Recently, deep learning based methods have been developed to …
A constraint propagation approach to structural model based image segmentation and recognition
O Nempont, J Atif, I Bloch - Information Sciences, 2013 - Elsevier
The interpretation of complex scenes in images requires knowledge regarding the objects in
the scene and their spatial arrangement. We propose a method for simultaneously …
the scene and their spatial arrangement. We propose a method for simultaneously …
[图书][B] Fuzzy Sets Methods in Image Processing and Understanding
Since its introduction [160], fuzzy sets theory was rapidly exploited and further developed for
image processing and image understanding problems. One reason for this development is …
image processing and image understanding problems. One reason for this development is …
Cognitive informatics in image semantics description, identification and automatic pattern understanding
L Ogiela - Neurocomputing, 2013 - Elsevier
In the paper a new way of pattern semantic interpretation directed at automatic semantic
classification and image content understanding will be described. Such an understanding …
classification and image content understanding will be described. Such an understanding …