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Chapter and Conference Paper
Modified CNN-Watershed for Corneal Endothelium Segmentation: Image-to-Image Versus Sliding-Window Comparison
This paper considers the problem of corneal endothelium image segmentation using a method that combines a CNN model with a watershed transform. Specifically, first CNN predicts cell bodies, edges, and centers....
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Chapter and Conference Paper
An Algorithm for Matching Binary Airway Trees in 3D Images
This paper considers the problem of airway tree matching in 3D images. An algorithm dedicated to chest scans of one patient obtained at different breathing stages is proposed. It assumes that the airway trees ...
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Chapter and Conference Paper
An Algorithm of Pig Segmentation from Top-View Infrared Video Sequences
This paper considers the problem of pig automatic segmentation from infrared top view images of a pen. Particularly, an algorithm for accurate delineation of pig’s contour is presented. The method consists of ...
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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
A Comparative Study of Image Enhancement Methods in Tree-Ring Analysis
In this paper the problem of semiautomatic tree-ring detection in scanned images of European larch wood sample is considered. In particular, the attention is paid to find image enhancement approach which incre...
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Chapter and Conference Paper
Assessment of the Brain Coverage Ratio in the Postoperative Craniosynostosis Based on 3D CT Scans
This paper the of quantification of the postoperative craniosynostosis. In particular, the method for assessment of the brain coverage ratio based on 3D CT brain scans is proposed. The method determines ...
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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
Accelerating the 3D Random Walker Image Segmentation Algorithm by Image Graph Reduction and GPU Computing
In this paper the problem of image segmentation using the random walker algorithm was considered. When applied to the segmentation of 3D images the method requires an extreme amount of memory and time resource...
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Chapter and Conference Paper
Enhancement of Low-Dose CT Brain Scans Using Graph-Based Anisotropic Interpolation
This paper considers the problem of enhancement of low-dose CT images. These images are usually distorted by the artifact similar to ‘film grain’, which affects image quality and hinders image segmentation. Th...
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Chapter and Conference Paper
The Assessment of Brain Volume in the Postoperative Craniosynostosis
This paper considers the problem of brain volume assessment in children with craniosynostosis using the algorithms of image processing and analysis. In particular the postoperative craniosynostosis is consider...
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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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Chapter and Conference Paper
Algorithm for Accurate Determination of Contact Angles in Vision System for High-Temperature Measurements of Metals and Alloys Surface Properties
In this paper problem of contact angle determination using image processing and analysis algorithms is considered. Specifically, algorithms developed for computerised system for high temperature measurements o...
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Chapter and Conference Paper
Modified Ranked Order Adaptive Median Filter for Impulse Noise Removal
In this paper problem of impulse noise removal is considered. Specifically, modifications of ranked order adaptive median filter (RAMF) are proposed. RAMF is popular, well established and effective switching m...
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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...