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000922401 019__ $$a1117293962$$a1117702272
000922401 020__ $$a9789811389306$$q(electronic book)
000922401 020__ $$a9811389306$$q(electronic book)
000922401 020__ $$z9789811389290
000922401 0247_ $$a10.1007/978-981-13-8930-6$$2doi
000922401 0247_ $$a10.1007/978-981-13-8
000922401 035__ $$aSP(OCoLC)on1114329535
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000922401 050_4 $$aQ325.5
000922401 08204 $$a006.3/1$$223
000922401 24500 $$aHybrid machine intelligence for medical image analysis /$$cSiddhartha Bhattacharyya, Debanjan Konar, Jan Platos, Chinmoy Kar, Kalpana Sharma, editors.
000922401 264_1 $$aSingapore :$$bSpringer,$$c2020.
000922401 300__ $$a1 online resource (xvi, 293 pages) :$$billustrations.
000922401 336__ $$atext$$btxt$$2rdacontent
000922401 337__ $$acomputer$$bc$$2rdamedia
000922401 338__ $$aonline resource$$bcr$$2rdacarrier
000922401 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 841
000922401 500__ $$aIncludes author index.
000922401 5050_ $$aPreface -- Introduction -- Brain Tumor Segmentation from T1 Weighted MRI Images Using Rough Set Reduct and Quantum Inspired Particle Swarm Optimization -- Automated Region of Interest detection of Magnetic Resonance (MR) images by Center of Gravity (CoG) -- Brain tumors detection through low level features detection and rotation estimation -- Automatic MRI Image Segmentation for Brain tumors detection using Multilevel Sigmoid Activation (MUSIG) function -- Automatic Segmentation of pulmonary nodules in CT Images for Lung Cancer detection using self-supervised Neural Network Architecture -- A Hierarchical Fused Fuzzy Deep Neural Network for MRI Image Segmentation and Brain Tumor Classification -- Computer Aided Detection of Mammographic Lesions using Convolutional Neural Network (CNN) -- Conclusion.
000922401 506__ $$aAccess limited to authorized users.
000922401 520__ $$aThe book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.
000922401 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 29, 2019).
000922401 650_0 $$aMachine learning.
000922401 650_0 $$aComputational intelligence.
000922401 7001_ $$aBhattacharyya, Siddhartha,$$d1975-$$eeditor.
000922401 7001_ $$aKonar, Debanjan,$$eeditor.
000922401 7001_ $$aPlatos, Jan,$$eeditor.
000922401 7001_ $$aKar, Chinmoy,$$eeditor.
000922401 7001_ $$aSharma, Kalpana$$c(Head of Computer Science and Engineering),$$eeditor.
000922401 830_0 $$aStudies in computational intelligence ;$$vv. 841.
000922401 852__ $$bebk
000922401 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-8930-6$$zOnline Access$$91397441.1
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000922401 980__ $$aEBOOK
000922401 980__ $$aBIB
000922401 982__ $$aEbook
000922401 983__ $$aOnline
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