LEADER 04210nam 22006975 450 001 9910483975203321 005 20251113181258.0 010 $a981-15-1100-4 024 7 $a10.1007/978-981-15-1100-4 035 $a(CKB)5280000000190042 035 $a(MiAaPQ)EBC5996837 035 $a(DE-He213)978-981-15-1100-4 035 $a(PPN)243768273 035 $a(EXLCZ)995280000000190042 100 $a20191211d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvancement of Machine Intelligence in Interactive Medical Image Analysis /$fedited by Om Prakash Verma, Sudipta Roy, Subhash Chandra Pandey, Mamta Mittal 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (336 pages) 225 1 $aAlgorithms for Intelligent Systems,$x2524-7573 311 08$a981-15-1099-7 327 $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. 330 $aThe book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging. 410 0$aAlgorithms for Intelligent Systems,$x2524-7573 606 $aEngineering$xData processing 606 $aMachine learning 606 $aQuantitative research 606 $aSignal processing 606 $aComputer vision 606 $aData Engineering 606 $aMachine Learning 606 $aData Analysis and Big Data 606 $aSignal, Speech and Image Processing 606 $aComputer Vision 615 0$aEngineering$xData processing. 615 0$aMachine learning. 615 0$aQuantitative research. 615 0$aSignal processing. 615 0$aComputer vision. 615 14$aData Engineering. 615 24$aMachine Learning. 615 24$aData Analysis and Big Data. 615 24$aSignal, Speech and Image Processing. 615 24$aComputer Vision. 676 $a610.28563 702 $aVarma?$b Oma Praka?s?a$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRoy$b Sudipta$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPandey$b Subhash Chandra$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMittal$b Mamta$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483975203321 996 $aAdvancement of Machine Intelligence in Interactive Medical Image Analysis$92855210 997 $aUNINA