The 42nd volume of "Journal of Biomimetics, Biomaterials and Biomedical Engineering" contains papers that present to readers with the latest results of scientific research and engineering decisions in the fields of the biomechanics, utilization of modern biomaterials for implantation and in tissue engineering, biochemical methods and methods of processing the medical images for the early cancer diagnostic in the current medical practice. We hope that this volume will be useful for many researchers and engineers involved in different branches of modern biomedicine.
The 42nd volume of "Journal of Biomimetics, Biomaterials and Biomedical Engineering" contains papers that present to readers with the latest results of scientific research and engineering decisions in the fields of the biomechanics, utilization of modern biomaterials for implantation and in tissue engineering, biochemical methods and methods of processing the medical images for the early cancer diagnostic in the current medical practice. We hope that this volume will be useful for many researchers and engineers involved in different branches of modern biomedicine.
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Illustrations, unspecified
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ISBN-13
978-3-0357-3013-5 (9783035730135)
DOI
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Schweitzer Klassifikation
<ul><li>Assessment of Muscles Fatigue during 400-Meters Running Strategies Based on the Surface EMG Signals</li><li>Collagen-Chitosan- Glycerol-HPMC Composite as Cornea Artificial Candidate</li><li>The Effects of Biodegradation on the Cytocompatibility of Bioresorbable Fe-Based Scaffolds: A Review</li><li>Using Chitosan Besides Nano Hydroxyapatite and Fluorohydroxyapatite Boost Dental Pulp Stem Cell Proliferation</li><li>
<i>In Vitro</i> Nucleic Acid Hybridization for the Identification of High-Risk Human <i>Papillomavirus </i>(HPV) in Cervical Clinical Specimens</li><li>Portable and Rapid <i>In Vivo</i> Imaging of Tissue Oxygenation Changes Induced by Skin Perfusion Pressure</li><li>Segmented and Non-Segmented Skin Lesions Classification Using Transfer Learning and Adaptive Moment Learning Rate Technique Using Pretrained Convolutional Neural Network</li><li>Classification of Mammograms Using Texture and CNN Based Extracted Features</li></ul>
