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020 _a9783030496661
_9978-3-030-49666-1
024 7 _a10.1007/978-3-030-49666-1
_2doi
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_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aInformation Technology in Biomedicine
_h[electronic resource] /
_cedited by Ewa Pietka, Pawel Badura, Jacek Kawa, Wojciech Wieclawek.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aX, 386 p. 139 illus., 119 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aAdvances in Intelligent Systems and Computing,
_x2194-5357 ;
_v1186
505 0 _aDeep 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.
520 _aThe 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. .
650 0 _aComputational intelligence.
650 0 _aBiomedical engineering.
650 0 _aHealth informatics.
650 1 4 _aComputational Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
650 2 4 _aBiomedical Engineering and Bioengineering.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
650 2 4 _aHealth Informatics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/H28009
700 1 _aPietka, Ewa.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBadura, Pawel.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKawa, Jacek.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWieclawek, Wojciech.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030496654
776 0 8 _iPrinted edition:
_z9783030496678
830 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5357 ;
_v1186
856 4 0 _uhttps://doi.org/10.1007/978-3-030-49666-1
912 _aZDB-2-INR
912 _aZDB-2-SXIT
999 _c461535
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