(EBOOK PDF) The Latest Developments and Challenges in Biomedical Engineering Proceedings of the 23rd P 1st Edition 3031384296 9783031384295 full chapters

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ISBN-10 :  3031384296

ISBN-13 : ‎ 9783031384295

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 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.

The Latest Developments & Challenges in Biomedical Engineering Proceedings of the 23rd P 1st Table of content:

1. Biomedical Imaging & Analysis
2. Modified CNN-Watershed for Corneal Endothelium Segmentation: Image-to-Image Versus Sliding-Window Comparison
3. Tissue Pattern Classification with CNN in Histological Images
4. Robust Multiresolution and Multistain Background Segmentation in Whole Slide Images
5. Impact of Visual Image Quality on Lymphocyte Detection Using YOLOv5 and RetinaNet Algorithms
6. Using Local Normalization and Local Thresholding in the Detection of Small Objects in MR Brain Images
7. Using Histogram Skewness and Kurtosis Features for Detection of White Matter Hyperintensities in MRI Images
8. Texture Analysis Versus Deep Learning in MRI-based Classification of Renal Failure
9. Mobile Application for Learning Polish Sign Language
10. Colour Clustering and Deep Transfer Learning Techniques for Breast Cancer Detection Using Mammography Images
11. Constructing a Panoramic Radiograph Image Based on Magnetic Resonance Imaging Data
12. Optimization of the BOLD Hemodynamic Response Function for EEG-FMRI Studies in Epilepsy
13. Improving the Resolution and SNR of Diffusion Magnetic Resonance Images From a Low-Field Scanner
14. Modeling and Machine Learning
15. Improving the Predictive Ability of Radiomics-Based Regression Survival Models Through Incorporating Multiple Regions of Interest
16. Assessing the Prognosis of Patients with Metastatic or Recurrent Non-small Cell Lung Cancer in the Era of Immunotherapy and Targeted Therapy
17. Predicting the Risk of Metastatic Dissemination in Non-small Cell Lung Cancer Using Clinical and Genetic Data
18. Metastasis Modelling Approaches—Comparison of Ideas
19. Model of Lung Cancer Progression and Metastasis—Need for a Delay
20. Classification of Recorded Electrooculographic Signals on Drive Activity for Assessing Four Kind of Driver Inattention by Bagged Trees Algorithm: A Pilot Study
21. Monte-Carlo Modeling of Optical Sensors for Postoperative Free Flap Monitoring
22. 3D-Breast System for Determining the Volume of Tissue Needed for Breast Reconstruction

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