001437526 000__ 04128cam\a2200541\a\4500 001437526 001__ 1437526 001437526 003__ OCoLC 001437526 005__ 20230309004153.0 001437526 006__ m\\\\\o\\d\\\\\\\\ 001437526 007__ cr\un\nnnunnun 001437526 008__ 210623s2021\\\\sz\\\\\\o\\\\\000\0\eng\d 001437526 019__ $$a1257577137 001437526 020__ $$a9783030766207$$q(electronic bk.) 001437526 020__ $$a3030766209$$q(electronic bk.) 001437526 020__ $$z3030766195 001437526 020__ $$z9783030766191 001437526 0247_ $$a10.1007/978-3-030-76620-7$$2doi 001437526 035__ $$aSP(OCoLC)1257401722 001437526 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCO$$dOCLCQ 001437526 049__ $$aISEA 001437526 050_4 $$aQA76.9.S63 001437526 08204 $$a006.3$$223 001437526 24500 $$aSoft computing :$$bbiomedical and related applications /$$cNguyen Hoang Phuong, Vladik Kreinovich, editors. 001437526 260__ $$aCham, Switzerland :$$bSpringer,$$c[2021] 001437526 300__ $$a1 online resource 001437526 336__ $$atext$$btxt$$2rdacontent 001437526 337__ $$acomputer$$bc$$2rdamedia 001437526 338__ $$aonline resource$$bcr$$2rdacarrier 001437526 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vv. 981 001437526 5050_ $$aPart I: Biomedical Applications of Computational Intelligence Techniques -- Bilattice CADIAG-II: Theory and Experimental Results -- A Combination Model of Robust Principal Component Analysis and Multiple Kernel Learning for Cancer Patient Stratification -- Attention U-Net with Active Contour based Hybrid Loss for Brain Tumor Segmentation -- Refining Skip Connections by Fusing Multi-scaled Context in Neural Network for Cardiac MR Image Segmentation -- End-to-end Hand Rehabilitation System with Single-shot Gesture Classification for Stroke Patients -- Feature Selection based on Shapley Additive Explanations on Metagenomic Data for Colorectal Cancer Diagnosis -- Clinical Decision Support Systems for Pneumonia Diagnosis using Gradient-weighted Class Activation Mapping and Convolutional Neural Networks -- Improving 3D Hand Pose Estimation with Synthetic RGB Image Enhancement using RetinexNet and Dehazing -- Imbalance in Learning Chest X-ray Images for COVID-19 Detection -- Deep Learning based COVID-19 Diagnosis by Joint Classifation and Segmentation -- Part II: General Computational Intelligence Techniques and Their Applications -- Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing. 001437526 506__ $$aAccess limited to authorized users. 001437526 520__ $$aThis book lists current and potential biomedical uses of computational intelligence methods. These methods are used in diagnostics and treatment of such diseases as cancer, cardiac diseases, pneumonia, stroke, and COVID-19. Many biomedical problems are difficult; so, often, the current methods are not sufficient, new methods need to be developed. To confidently apply the new methods to critical life-and-death medical situations, it is important to first test these methods on less critical applications. The book describes several such promising new methods that have been tested on problems from agriculture, computer networks, economics and business, pavement engineering, politics, quantum computing, robotics, etc. This book helps practitioners and researchers to learn more about computational intelligence methods and their biomedical applications and to further develop this important research direction. 001437526 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 25, 2021). 001437526 650_0 $$aSoft computing. 001437526 650_0 $$aArtificial intelligence$$xMedical applications. 001437526 650_6 $$aInformatique douce. 001437526 650_6 $$aIntelligence artificielle en médecine. 001437526 655_0 $$aElectronic books. 001437526 7001_ $$aPhuong, Nguyen Hoang,$$eeditor. 001437526 7001_ $$aKreinovich, Vladik,$$eeditor. 001437526 77608 $$iPrint version:$$tSoft computing.$$dCham, Switzerland : Springer, [2021]$$z3030766195$$z9783030766191$$w(OCoLC)1247672910 001437526 830_0 $$aStudies in computational intelligence ;$$vv. 981.$$x1860-949X 001437526 852__ $$bebk 001437526 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-76620-7$$zOnline Access$$91397441.1 001437526 909CO $$ooai:library.usi.edu:1437526$$pGLOBAL_SET 001437526 980__ $$aBIB 001437526 980__ $$aEBOOK 001437526 982__ $$aEbook 001437526 983__ $$aOnline 001437526 994__ $$a92$$bISE