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001452805 001__ 1452805
001452805 003__ OCoLC
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001452805 019__ $$a1337144266
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001452805 0247_ $$a10.1007/978-981-19-0151-5$$2doi
001452805 035__ $$aSP(OCoLC)1337154070
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001452805 049__ $$aISEA
001452805 050_4 $$aRC78.7.D53
001452805 08204 $$a616.07/54$$223/eng/20220726
001452805 1112_ $$aInternational Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis$$n(2nd :$$d2021 :$$cSikkim, India).
001452805 24510 $$aArtificial intelligence on medical data :$$bproceedings of International Symposium, ISCMM 2021 /$$cMousumi Gupta, Sujata Ghatak, Amlan Gupta, Abir Lal Mukherjee, editors.
001452805 24630 $$aISCMM 2021
001452805 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001452805 264_4 $$c©2023
001452805 300__ $$a1 online resource :$$billustrations (chiefly color).
001452805 336__ $$atext$$btxt$$2rdacontent
001452805 337__ $$acomputer$$bc$$2rdamedia
001452805 338__ $$aonline resource$$bcr$$2rdacarrier
001452805 4901_ $$aLecture notes in computational vision and biomechanics ;$$vvolume 37
001452805 500__ $$aInternational conference proceedings.
001452805 500__ $$aIncludes author index.
001452805 5050_ $$aRetinal Vessel Segmentation in Fundus Image using Low-Cost Multiple U-Net Architecture -- Imaging Radiomic-Driven Framework for Automated Cancer Investigation -- Computational image analysis of painful and pain free intervertebral disc -- Bio-medical image encryption using the modified chaotic image encryption method -- Stability of Feature Selection Algorithms -- A Database Application of Monitoring Covid-19 in India -- Walking Assistant for Vision Impaired by Using Deep Learning -- Detection of Coronavirus in Electron Microscope Imagery using Convolutional Neural Networks -- IoT & RFID based Smart Card System Integrated with Healthcare, Electricity, QR and Banking Sectors -- Face Mask Recognition Using Modular, Wavelet and Modular-Wavelet PCA -- Effective Overview of Different ML Models used for Prediction of COVID -19 Patients -- Hybrid CNN-SVM Model for Face Mask Detector to Protect from COVID -19 -- A Study on Various Medical Imaging Modalities and image fusion methods -- A Deep Learning Technique For Bi-fold Grading of an Eye Disorder DR-Diabetic Retinopathy -- Brain Tumor Detection Using Fine Tuned YOLO Model with Transfer Learning.
001452805 506__ $$aAccess limited to authorized users.
001452805 520__ $$aThis book includes high-quality papers presented at the Second International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM 2021), organized by Computer Applications Department, SMIT in collaboration with Department of Pathology, SMIMS, Sikkim, India, and funded by Indian Council of Medical Research, during 11 12 November 2021. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.
001452805 588__ $$aDescription based on print version record.
001452805 650_0 $$aDiagnostic imaging$$vCongresses.
001452805 650_0 $$aComputer vision in medicine$$vCongresses.
001452805 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001452805 655_7 $$aConference papers and proceedings.$$2lcgft
001452805 655_0 $$aElectronic books.
001452805 7001_ $$aGupta, Mousumi,$$eeditor.
001452805 7001_ $$aGhatak, Sujata,$$eeditor.
001452805 7001_ $$aGupta, Amlan,$$eeditor.
001452805 7001_ $$aMukherjee, Abir Lal,$$eeditor.
001452805 77608 $$iPrint version:$$aInternational Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (2nd : 2021), creator.$$tArtificial intelligence on medical data.$$dSingapore : Springer Nature Singapore, 2022$$z9789811901508$$w(OCoLC)1328023770
001452805 830_0 $$aLecture notes in computational vision and biomechanics ;$$vv. 37.
001452805 852__ $$bebk
001452805 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-0151-5$$zOnline Access$$91397441.1
001452805 909CO $$ooai:library.usi.edu:1452805$$pGLOBAL_SET
001452805 980__ $$aBIB
001452805 980__ $$aEBOOK
001452805 982__ $$aEbook
001452805 983__ $$aOnline
001452805 994__ $$a92$$bISE