29 hasil untuk "Piórkowski Adam"
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Artikel Jurnal
Construction of a dynamic arrival time coverage map for emergency medical services
This article presents a design of coverage maps for emergency journeys made by emergency medical services. The system was designed for the Malopolskie Voivodeship Office in Cracow, Poland. The proposed solution displays maps of the ambulance coverage of areas and ambulance’s potential journey…
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Novel Technique for Growth Plate Analysis Based on the Superposition of T(1)- and T(2)-weighted MR Imaging of Adolescent Wrists
In this article, a new method of information extraction on the basis of the differentiation of T(1)- and T(2)-weighted MR images is proposed. It relies on a technique of superposition of T(1)- and T(2)-weighted MR images with use of statistical dominance algorithm. On the basis of implemented image…
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Effect of Matrix Size Reduction on Textural Information in Clinical Magnetic Resonance Imaging
The selection of the matrix size is an important element of the magnetic resonance imaging (MRI) process, and has a significant impact on the acquired image quality. Signal to noise ratio, often used to assess MR image quality, has its limitations. Thus, for this purpose we propose a novel…
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Efficient automatic 3D segmentation of cell nuclei for high-content screening
BACKGROUND: High-content screening (HCS) is a pre-clinical approach for the assessment of drug efficacy. On modern platforms, it involves fluorescent image capture using three-dimensional (3D) scanning microscopy. Segmentation of cell nuclei in 3D images is an essential prerequisite to quantify…
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Clinical Applications of Artificial Intelligence in Medical Imaging and Image Processing—A Review
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Influence of Acquisition Time on MR Image Quality Estimated with Nonparametric Measures Based on Texture Features
Correlation of parametrized image texture features (ITF) analyses conducted in different regions of interest (ROIs) overcomes limitations and reliably reflects image quality. The aim of this study is to propose a nonparametrical method and classify the quality of a magnetic resonance (MR) image…
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Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment
The quality of magnetic resonance images may influence the diagnosis and subsequent treatment. Therefore, in this paper, a novel no-reference (NR) magnetic resonance image quality assessment (MRIQA) method is proposed. In the approach, deep convolutional neural network architectures are fused and…
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Universal Measure for Medical Image Quality Evaluation Based on Gradient Approach
In this paper, a new universal measure of medical images quality is proposed. The measure is based on the analysis of the image by using gradient methods. The number of isolated peaks in the examined image, as a function of the threshold value, is the basis of the assessment of the image quality…
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Cell–Material Interplay in Focal Adhesion Points
[Image: see text] The complex interplay between cells and materials is a key focus of this research, aiming to develop optimal scaffolds for regenerative medicine. The need for tissue regeneration underscores understanding cellular behavior on scaffolds, especially cell adhesion to polymer fibers…
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Caries detection enhancement using texture feature maps of intraoral radiographs
OBJECTIVES: Dental caries are caused by tooth demineralization due to bacterial plaque formation. However, the resulting lesions are often discrete and thus barely recognizable in intraoral radiography images. Therefore, more advanced detection techniques are in great demand among dentists and…
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Magnetic Resonance Image Quality Assessment by Using Non-Maximum Suppression and Entropy Analysis
An investigation of diseases using magnetic resonance (MR) imaging requires automatic image quality assessment methods able to exclude low-quality scans. Such methods can be also employed for an optimization of parameters of imaging systems or evaluation of image processing algorithms. Therefore…
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Deep Learning for Ultrasonographic Assessment of Temporomandibular Joint Morphology
Background: Temporomandibular joint (TMJ) disorders are a significant cause of orofacial pain. Artificial intelligence (AI) has been successfully applied to other imaging modalities but remains underexplored in ultrasonographic evaluations of TMJ. Objective: This study aimed to develop and validate…
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Cancelable biometric authentication leveraging empirical mode decomposition and quaternion representations for IoT security
Biometric authentication is essential for securing Internet of Things (IoT) devices, yet the vulnerability of biometric data to breaches underscores the necessity for improved security measures. Cancelable biometric sysems, which convert original biometric data into non-reversible templates, offer…
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Artificial Intelligence-Empowered Radiology—Current Status and Critical Review
Humanity stands at a pivotal moment of technological revolution, with artificial intelligence (AI) reshaping fields traditionally reliant on human cognitive abilities. This transition, driven by advancements in artificial neural networks, has transformed data processing and evaluation, creating…
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Will AI Replace Physicians in the Near Future? AI Adoption Barriers in Medicine
Objectives: This study aims to evaluate whether contemporary artificial intelligence (AI), including convolutional neural networks (CNNs) for medical imaging and large language models (LLMs) for language processing, could replace physicians in the near future and to identify the principal clinical…
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Artificial Intelligence for RECIST-Based Radiologic Treatment Response Assessment in Solid Tumors: A Systematic Review of Imaging- and Report-Derived Approaches
Background/Objectives: To systematically review and critically appraise AI methods for RECIST-based radiologic treatment response assessment in solid tumors, comparing image-derived and report-derived approaches and summarizing their performance, agreement with reference standards, and validation…
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Differential Diagnosis of Cysts and Granulomas Supported by Texture Analysis of Intraoral Radiographs
The aim of this study was to evaluate whether textural analysis could differentiate between the two common types of lytic lesions imaged with use of radiography. Sixty-two patients were enrolled in the study with intraoral radiograph images and a histological reference study. Full textural analysis…