The Latest Developments and Challenges in Biomedical Engineering Proceedings of the 23rd Polish Conference on Biocybernetics and Biomedical Engineering, Lodz, Poland, September 27–29, 2023 /

The 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 p...

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Gorde:
Xehetasun bibliografikoak
Erakunde egilea: SpringerLink (Online service)
Beste egile batzuk: Strumiłło, Paweł (Argitaratzailea), Klepaczko, Artur (Argitaratzailea), Strzelecki, Michał (Argitaratzailea), Bociąga, Dorota (Argitaratzailea)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edizioa:1st ed. 2024.
Saila:Lecture Notes in Networks and Systems, 746
Gaiak:
Sarrera elektronikoa:https://doi.org/10.1007/978-3-031-38430-1
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
Aurkibidea:
  • The 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.