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Volumetric Segmentation of Brain Regions From MRI Scans Using 3D Convolutional Neural Networks

IEEE Access(2020)10.1109/access.2020.2998901Source: DataRank Database

Volumetric Segmentation of Brain Regions From MRI Scans Using 3D Convolutional Neural Networks is a research paper published in IEEE Access (2020). On theSindex it has a DataRank of 0. It has been cited 72 times.

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Open Access72 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: goldTopics (31)IDs (PubMed)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Muhammad Usman Ghani Khan ORCID,Sajid Iqbal ORCID,Tanzila Saba ORCID,Amjad Rehman ORCID,Farheen Ramzan ORCID

Live enrichment

PubMed:23304386

Alzheimer’s Disease Neuroimaging Initiative (ADNI)

Grant: U01 AG024904

Department of Defense (DOD) ADNI

Grant: W81XWH-12-2-0012

Canadian Institutes of Health Research

Grant: unidentified

unidentified

National Institutes of Health

Grant: 1U01AG024904-01

Alzheimers Disease Neuroimaging Initiative

goldLicense: other-oa

publisherhttps://ieeexplore.ieee.org/ielx7/6287639/8948470/09104657.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/6287639/8948470/09104657.pdf?arnumber=9104657

repositoryhttps://doaj.org/article/8bf222f9f1c647e3a2da5a56a00487b2

https://doi.org/10.1109/access.2020.2998901

https://dx.doi.org/10.60692/t1jsy-h8844

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

Artificial intelligencevolumetric segmentationMRI SegmentationGeometryClassification of Brain Tumor Type and GradeConvolutional neural networkImage SegmentationPattern recognition (psychology)Sørensen–Dice coefficientSegmentationconvolutional neural networksFOS: Mathematicsmagnetic resonance imagingImage Segmentation TechniquesBrain segmentationDiceVoxelLife SciencesDeep learningComputer scienceTK1-9971NeurologyPhysical SciencesDeep Learning in Computer Vision and Image RecognitionSemantic SegmentationElectrical engineering. Electronics. Nuclear engineeringComputer Vision and Pattern RecognitionMathematicsNeuroscience