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020 _a9789811511004
024 7 _a10.1007/978-981-15-1100-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aR859.7.A78
_b2020 EB
245 0 0 _aAdvancement of Machine Intelligence in Interactive Medical Image Analysis
_cedited by Om Prakash Verma, Sudipta Roy, Subhash Chandra Pandey, Mamta Mittal.
250 _a1st ed. 2020.
264 1 _aSingapore
_bSpringer Singapore :
_bImprint: Springer
_c2020.
300 _a1 recurso en línea (XIV, 329 páginas)
_b168 ilustraciones, 106 ilustraciones a color.
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aAlgorithms for Intelligent Systems
_x2524-7565
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aPragmatic Medical Image Analysis and Deep Learning: An Emerging Trend -- Aspect of Big Data in Medical Imaging to Extract the Hidden Information Using HIPI in HDFS Environment -- Image Segmentation using Deep Learning Techniques -- Application of Machine Intelligence in Digital Pathology: Identification of Falciparum Malaria in Thin Blood Smear Image -- Efficient ANN Algorithms for Sleep Apnea Detection using Transform Methods -- Medical Image Processing in Detection of Abdomen Diseases -- Multi-Reduct Rough Set Classifier for Computer-Aided Diagnosis in Medical Data -- A New Approach of Intuitionistic Fuzzy Membership Matrix in Medical Diagnosis with Application -- Image Analysis and Automation of Data Processing in Assessment of Dental X-ray (OPG) Using MATLAB and Excel VBA -- Detecting Bone Fracture Using Transfer Learning -- GAN based novel approach for data augmentation with improved disease classification -- Automated glaucoma type identification using Machine learning or Deep learning techniques -- Glaucoma Detection from Retinal Fundus Images using RNFL Texture Analysis -- Artificial Intelligence based Glaucoma Detection -- Security Issues of Internet of Things in Health-Care Sector: An Analytical Approach.
520 3 _aThe book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.
988 _aPrimersemestre_2020_Robotics
650 7 _2embne
_9421371
_aInteligencia artificial en medicina
700 1 _aVerma, Om Prakash.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRoy, Sudipta.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPandey, Subhash Chandra.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMittal, Mamta.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789811510991
776 0 8 _iPrinted edition:
_z9789811511011
776 0 8 _iPrinted edition:
_z9789811511028
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-1100-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
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998 _b03/2020
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