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Auto-segmentation of Adult-Type Diffuse Gliomas: Comparison of Transfer Learning-Based Convolutional Neural Network Model vs. Radiologists

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-024-01044-7Source: DataRank Database

Auto-segmentation of Adult-Type Diffuse Gliomas: Comparison of Transfer Learning-Based Convolutional Neural Network Model vs. Radiologists is a research paper published in Journal of Imaging Informatics in Medicine (2024). On theSindex it has a DataRank of 0. It has been cited 9 times.

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Open Access9 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (9 grants)Impact (FWCI 2.53)OA: hybridTopics (42)IDs (PubMed, PMC, OpenAlex)

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Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (11)

Ji‐Soo Kim ORCID,Clifford Lindsay ORCID,Xin Chen ORCID,Jing Li ORCID,J. Bryan Iorgulescu ORCID

Live enrichment

PubMed:38383806 PMC:PMC11300742 OpenAlex:https://openalex.org/W4392015811

National Cancer Institute

Grant: K12CA090354

National Institutes of Health award

Grant: R01LM013772

National Institutes of Health award

Grant: R01LM012434

NLM NIH HHS

Grant: R01 LM013891

National Institutes of Health

Grant: 1R01LM013772-01A1

Targeted Neural Text Summarization of Electronic Medical Records to Improve Imaging Diagnostics

National Institutes of Health

Grant: 1R01LM013891-01A1

A New Informatics Approach for Detection of Cerebrovascular Abnormalities

National Institutes of Health

Grant: 1R01LM012434-01

Computer aided diagnosis of cancer metastases in the brain

National Institutes of Health

Grant: 2K12CA090354-21

Training Program in Nervous System Tumors

Conquer Cancer Foundation

FWCI

2.53

Citation Percentile

0.9%

Citation Trend

2025

2026

hybridLicense: cc-by

journalhttps://link.springer.com/content/pdf/10.1007/s10278-024-01044-7.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s10278-024-01044-7.pdf

journalhttps://doi.org/10.1007/s10278-024-01044-7

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38383806

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11300742

Fields of Study

Glioma Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingBrain Tumor Detection and Classification03 medical and health sciences0302 clinical medicine

MeSH Terms

RadiologistsDeep LearningAdultBrain NeoplasmsFemaleGliomaHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNeural Networks, Computer

Keywords

SegmentationFluid-attenuated inversion recoveryConvolutional neural networkArtificial intelligenceGliomaMedicineDeep learningGround truthComputer scienceTransfer of learningNuclear medicineRadiologyPattern recognition (psychology)Magnetic resonance imagingBratsAdultMaleOriginal PaperBrain NeoplasmsMiddle AgedRadiologistsImage Interpretation, Computer-AssistedHumansFemaleNeural Networks, Computer