7 Result(s)
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Chapter and Conference Paper
U-CatcHCC: An Accurate HCC Detector in Hepatic DCE-MRI Sequences Based on an U-Net Framework
This paper presents a novel framework devoted to the detection of HCC (Hepato-Cellular Carcinoma) within hepatic DCE-MRI (Dynamic Contrast-Enhanced MRI) sequences, by a deep learning approach. In clinical rout...
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Chapter and Conference Paper
Airway Segmentation, Skeletonization, and Tree Matching to Improve Registration of 3D CT Images with Large Opacities in the Lungs
In this work, we address the registration of pulmonary images, representing the same subject, with large opaque regions within the lungs, and with possibly large displacements. We propose a hybrid method combi...
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Chapter and Conference Paper
Automatic Assessment of Skull Circumference in Craniosynostosis
The premature fusion of one or more calvarias sutures of the infant’s skull causes a common pediatric disease called craniosynostosis. This condition causes a serious deformation of the head shape and may prod...
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Article
Open AccessImage processing and analysis algorithms for yarn hairiness determination
Yarn hairiness is one of the key parameters influencing fabric quality. In this paper image processing and analysis algorithms developed for an automatic determination of yarn hairiness are presented. The main...
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Article
Computer vision system for high temperature measurements of surface properties
Recently, computer vision systems have become very popular. They are of great importance in almost every field of science, engineering and industry. Present-day vision systems allow to obtain information that ...
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Chapter and Conference Paper
Airway Tree Segmentation from CT Scans Using Gradient-Guided 3D Region Growing
In this paper a new approach to CT based investigation of pulmonary airways is introduced. Especially a new - fully automated algorithm for airway tree segmentation is proposed. The algorithm is based on 3D se...
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Chapter and Conference Paper
A Fuzzy Segmentation Method for Images of Heat-Emitting Objects
In this paper a problem of soft image segmentation is considered. An approach for segmenting images of heat-emitting specimens is introduced. Proposed algorithm is an extension of fuzzy C-means (FCM) clusterin...
