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Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs

arXiv (Cornell University)(2024)10.48550/arxiv.2408.04491Source: DataRank Database

Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs is a research paper published in arXiv (Cornell University) (2024). On theSindex it has a DataRank of 0.

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Enrichment:Funding (4 grants)OA: greenTopics (18)IDs (PubMed, OpenAlex)

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Authors (10)

Onkar Susladkar ORCID,Görkem Durak ORCID,Elif Keleş ORCID,Aktas, Ertugrul,Timurhan Cebeci ORCID

Live enrichment

PubMed:26207759 OpenAlex:https://openalex.org/W4403967107

National Institutes of Health

Grant: 5R01CA240639-03

Radiologist-Centered Artificial Intelligence (RCAI) for Lung Cancer Screening and Diagnosis

National Institutes of Health

Grant: 1U01CA268808-01A1

Hybrid Intelligence for Trustable Diagnosis And Patient Management of Prostate Cancer (HIT-PIRADS)

National Institutes of Health

Grant: 5U01DK127384-02

Data Coordinating Center for the Type 1 Diabetes in Acute Pancreatitis Consortium

National Institutes of Health

Grant: 5R01CA246704-04

Cyst-X: Interpretable Deep Learning Based Risk Stratification of Pancreatic Cystic Tumors

greenLicense: cc-by

repositoryhttps://arxiv.org/pdf/2408.04491

repositoryhttp://arxiv.org/abs/2408.04491

repositoryhttps://doi.org/10.48550/arxiv.2408.04491

https://dx.doi.org/10.48550/arxiv.2408.04491

https://doi.org/10.48550/arXiv.2408.04491

Fields of Study

Radiomics and Machine Learning in Medical ImagingLiver Disease Diagnosis and TreatmentAdvanced X-ray and CT ImagingComputer ScienceMedicine0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Deep learningSegmentationArtificial intelligenceComputer scienceRadiologyMedicineFOS: Computer and information sciencesArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition