04517nam 22006135 450 991048335000332120200902102017.03-030-49666-X10.1007/978-3-030-49666-1(CKB)4100000011413856(MiAaPQ)EBC6335306(DE-He213)978-3-030-49666-1(PPN)250218992(EXLCZ)99410000001141385620200902d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierInformation Technology in Biomedicine /edited by Ewa Pietka, Pawel Badura, Jacek Kawa, Wojciech Wieclawek1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (370 pages) illustrationsAdvances in Intelligent Systems and Computing,2194-5357 ;1186Includes index.3-030-49665-1 Deep Learning Approach to Subepidermal Low Echogenic Band Segmentation in High Frequency Ultrasound -- A Review of Clustering Methods in Microorganism Image Analysis -- MRFU-Net: A Multiple Receptive Field U-Net for Environmental Microorganism Image Segmentation -- Deep Learning Approach to Automated Segmentation of Tongue in Camera Images for Computer-Aided Speech Diagnosis -- 3-D Tissue Image Reconstruction from Digitized Serial Histologic Sections to Visualize Small Tumor Nests in Lung Adenocarcinomas -- The Influence of Age on Morphometric and Textural Vertebrae Features in Lateral Cervical Spine Radiographs -- Evaluation of Shape from Shading Surface Reconstruction Quality for Liver Phantom -- Pancreas and Duodenum – Automated Organ Segmentation.The rapid and continuous growth in the amount of available medical information and the variety of multimodal content has created demand for a fast and reliable technology capable of processing data and delivering results in a user-friendly manner, whenever and wherever the information is needed. Multimodal acquisition systems, AI-powered applications, and biocybernetic support for medical procedures, physiotherapy and prevention have opened up exciting new avenues in terms of optimizing the healthcare system for the benefit of patients. This book presents a comprehensive study on the latest advances in medical data science and gathers carefully selected articles written by respected experts on information technology. Pursuing an interdisciplinary approach and addressing both theoretical and applied aspects, it chiefly focuses on: Artificial Intelligence Image Analysis Sound and Motion in Physiotherapy and Physioprevention Modeling and Simulation Medical Data Analysis Given its scope, the book offers a valuable reference tool for all scientists who deal with problems of designing and implementing information processing tools employed in systems that assist in patient diagnosis and treatment, as well as students who want to learn more about the latest innovations in quantitative medical data analysis, data mining, and artificial intelligence. .Advances in Intelligent Systems and Computing,2194-5357 ;1186Computational intelligenceBiomedical engineeringHealth informaticsComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Biomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XHealth Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/H28009Computational intelligence.Biomedical engineering.Health informatics.Computational Intelligence.Biomedical Engineering and Bioengineering.Health Informatics.610.285Pietka Ewaedthttp://id.loc.gov/vocabulary/relators/edtBadura Paweledthttp://id.loc.gov/vocabulary/relators/edtKawa Jacekedthttp://id.loc.gov/vocabulary/relators/edtWieclawek Wojciechedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910483350003321Information Technology in Biomedicine2844447UNINA