07228nam a22005295i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001300172072001600185072002300201072001500224245030900239250001800548264006900566300006500635336002600700337002600726338003600752347002400788490006100812505348300873520144704356650002805803650003905831650002705870650004705897650003905944650002705983650004606010700008906056700008606145700008906231700008706320710003406407773002606441776003606467776003606503830006806539856004606607912001406653912001406667999001706681978-3-031-38430-1DE-He21320251030110814.0cr nn 008mamaa230910s2024    sz |    s    |||| 0|eng d  a97830313843019978-3-031-38430-17 a10.1007/978-3-031-38430-12doi 4aR856-857 7aMQW2bicssc 7aTEC0590002bisacsh 7aMQW2thema14aThe Latest Developments and Challenges in Biomedical Engineeringh[electronic resource] :bProceedings of the 23rd Polish Conference on Biocybernetics and Biomedical Engineering, Lodz, Poland, September 27–29, 2023 /cedited by Paweł Strumiłło, Artur Klepaczko, Michał Strzelecki, Dorota Bociąga.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aX, 468 p. 176 illus., 129 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Networks and Systems,x2367-3389 ;v7460 aThe Influence of Aging Conditions on The Properties of Polymer Dental Composites -- Modified CNN-Watershed for Corneal Endothelium Segmentation: Image-to-Image vs Sliding-Window Comparison -- Colour Clustering and Deep Transfer Learning Tech-niques for Breast Cancer Detection using Mammography Images -- Tissue Pattern Classication with CNN in Histological Images -- Classification of Recorded Electrooculographic Signals on Drive Activity for Assessing Four Kind of Driver Inattention by Bagged Trees Algorithm: A Pilot Study -- Bioimpedance spectroscopy - niche applications in medicine: systematic review -- Smart pillcase system to support the elderly and the disabled -- Using frequency correction of stethoscope recordings to improve classification of respiratory sounds -- Constructing a panoramic radiograph image based on magnetic resonance imaging data -- Mobile application for learning Polish Sign Language -- Improving the predictive ability of radiomics-based regression survival models throughincorporating multiple regions of interest -- Assessing the prognosis of patients with metastatic or recurrent non-small cell lung cancer in the era of immunotherapy and targeted therapy -- Predicting the risk of metastatic dissemination in non-small cell lung cancer using clinical and genetic data -- Measurement of blood flow in the carotid artery as one of the elements of assessing the ability for pilots in the gravitational force conditions –review of available solutions -- Application of unsuppressed water peaks for MRS Thermometry -- Using local normalization and local thresholding in the detection of small objects in MR brain images -- Evaluation of Neurological Disorders in Isokinetic Dynamometry and Surface Electromyography Activity of Biceps and Triceps Muscles -- Robust Multiresolution and Multistain Background Segmentation in Whole Slide Images -- Optimization of the BOLD hemodynamic response function for EEG-fMRI studies in epilepsy -- Metastasis modelling approaches - comparison ofideas -- Impact of visual image quality on lymphocyte detection using YOLOv5 and RetinaNet algorithms -- Opportunities of Data Medicine: Telemonitoring of Multimodal Medical Data in Outpatient Care -- Analyzing the performance of Real-Coded Genetic Algorithm with control locations for multi-robot path planning -- Detection of people swimming in water reservoirs with the use of multimodal imaging and machine learning -- Improving the resolution and SNR of diffusion magnetic resonance images from a low-field scanner -- EMG mapping technique for pinch meter robot extension -- Monte-Carlo modeling of optical sensors for postoperative free flap monitoring -- 3D-Breast system for determining the volume of tissue needed for breast reconstruction -- Using histogram skewness and kurtosis features for detection of White Matter Hyperintensities in MRI images -- Preeclampsia risk prediction using machine learning methods trained on synthetic data -- Model of lung cancer progression and metastasis – need for a delay -- Texture analysis versus deep learning in MRI-based classification of renal failure -- Data Glove for the Recognition of the Letters of the Polish Sign Language Alphabet -- Haptic display of depth images in an electronic travel aid for the blind: technical indoor trials -- Computational approach for verification of aortic wall tear size on CT contrast distribution in patients with type B aortic dissection – the preliminary study.  aThe book contains 35 chapters, in which you can find various examples of the development of methods and/or systems supporting medical diagnostics and therapy, related to biomedical imaging, signal and image processing, biomaterials and artificial organs, modelling of biomedical systems, which were presented as current research topics at the 23rd Polish Biocybernetics and Biomedical Engineering Conference, held at the Institute of Electronics, Lodz University of Technology in September 2023. The ongoing and dynamic development of AI-based data processing and analysis methods plays an increasingly important role in medicine. This book addresses these issues by presenting applications of such methods in various areas, such as disease diagnosis and prediction, particularly through the use of image data analysis algorithms. Other topics covered include personalized medicine, where multimodal patient data is acquired and analyzed, as well as robotic surgery and clinical decisionsupport. The book is of interest to an advanced and broad readership, including researchers and engineers representing both medical, biological, and engineering viewpoints. Its readers may also be graduate and postgraduate students in various fields such as biomedical engineering, artificial intelligence, biomaterials, and medical electronics, as well as software developers in R&D departments working in the field of intelligent healthcare engineering. 0aBiomedical engineering. 0aComputational intelligence.964052 0aBioinformatics.96405014aBiomedical Engineering and Bioengineering.24aComputational Intelligence.96405224aBioinformatics.96405024aComputational and Systems Biology.9659741 aStrumiłło, Paweł.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9659751 aKlepaczko, Artur.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9659761 aStrzelecki, Michał.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9659771 aBociąga, Dorota.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9659782 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303138429508iPrinted edition:z9783031384318 0aLecture Notes in Networks and Systems,x2367-3389 ;v74696597940uhttps://doi.org/10.1007/978-3-031-38430-1  aZDB-2-ENG  aZDB-2-SXE  c56276d56276