Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/3799
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dc.contributor.authorTiwari, Deekshaen_US
dc.contributor.authorJha, Hem Chandraen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:30:41Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:30:41Z-
dc.date.issued2019-
dc.identifier.citationTiwari, D., & Jha, H. C. (2019). Detection and analysis of human brain disorders doi:10.1007/978-981-13-0923-6_61en_US
dc.identifier.isbn9789811309229-
dc.identifier.issn2194-5357-
dc.identifier.otherEID(2-s2.0-85051948467)-
dc.identifier.urihttps://doi.org/10.1007/978-981-13-0923-6_61-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/3799-
dc.description.abstractIn this review, we noted that any single technique available till date is not sufficient enough to provide us with all the answers. Fortunately, the strengths and weakness of available techniques complement each other to a great extent. Thus, for obtaining desired information, data from different techniques can be poled together leading to the introduction of a variety of multimodal imaging technology. The direct comparison of the acquired information has contributed greatly to the understanding of different neurodegenerative disorders and better application of imaging techniques to it. This has also led to use of imaging technology as disease monitoring application. Disease detection and subsequent progression can be effectively monitored using such multimodal imaging techniques. There’s a huge scope for development of new and improvements to be incorporated in existing techniques for enhancing the detection probability of neurodegeneration in early stages. Early detection might help in improvement of therapeutics and treatment available. © Springer Nature Singapore Pte Ltd 2019.en_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.sourceAdvances in Intelligent Systems and Computingen_US
dc.subjectArtificial intelligenceen_US
dc.subjectSignal processingen_US
dc.subjectDetection probabilitiesen_US
dc.subjectDisease detectionen_US
dc.subjectDisease monitoringen_US
dc.subjectHuman brainen_US
dc.subjectImaging technologyen_US
dc.subjectMulti-modal imagingen_US
dc.subjectNeurodegenerationen_US
dc.subjectNeurodegenerative disordersen_US
dc.subjectNeurodegenerative diseasesen_US
dc.titleDetection and analysis of human brain disordersen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Biosciences and Biomedical Engineering

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