A review on brain structures segmentation in magnetic resonance imaging
S González-Villà, A Oliver, S Valverde, L Wang… - Artificial intelligence in …, 2016 - Elsevier
Background and objectives Automatic brain structures segmentation in magnetic resonance
images has been widely investigated in recent years with the goal of helping diagnosis and …
images has been widely investigated in recent years with the goal of helping diagnosis and …
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 …
Fuzzy sets for image processing and understanding
I Bloch - Fuzzy sets and systems, 2015 - Elsevier
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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 …
Design of early fault detection technique for electrical assets using infrared thermograms
ZA Jaffery, AK Dubey - International journal of electrical power & energy …, 2014 - Elsevier
Infrared thermography is a non destructive temperature measuring technique, widely used in
agriculture, process industries, manufacturing, pharmaceutical industries, and construction …
agriculture, process industries, manufacturing, pharmaceutical industries, and construction …
Multi-organ localization with cascaded global-to-local regression and shape prior
We propose a method for fast, accurate and robust localization of several organs in medical
images. We generalize the global-to-local cascade of regression random forest to multiple …
images. We generalize the global-to-local cascade of regression random forest to multiple …
Anatomically consistent CNN-based segmentation of organs-at-risk in cranial radiotherapy
Planning of radiotherapy involves accurate segmentation of a large number of organs at risk
(OAR), ie, organs for which irradiation doses should be minimized to avoid important side …
(OAR), ie, organs for which irradiation doses should be minimized to avoid important side …
Explanatory reasoning for image understanding using formal concept analysis and description logics
In this paper, we propose an original way of enriching description logics with abduction
reasoning services. Under the aegis of set and lattice theories, we put together ingredients …
reasoning services. Under the aegis of set and lattice theories, we put together ingredients …
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 …
Salient object detection based on super-pixel clustering and unified low-rank representation
In this paper, we present a novel salient object detection method, efficiently combining
Laplacian sparse subspace clustering (LSSC) and unified low-rank representation (ULRR) …
Laplacian sparse subspace clustering (LSSC) and unified low-rank representation (ULRR) …
[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 …