ArticleUltrasonography (Seoul, Korea)2021
Current status of deep learning applications in abdominal ultrasonography.
Article in Ultrasonography (Seoul, Korea), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- TSNet: a multi-modal deep learning framework for subtyping appendicitis: integrating ultrasound images, handcrafted features, and clinical data.Abdominal radiology (New York) · 2026Article
- Deep learning-aided diagnosis of acute abdominal aortic dissection by ultrasound images.Emergency radiology · 2025Article
- Adaptive Evolutionary Optimization of Deep Learning Architectures for Focused Liver Ultrasound Image Segmentation.Diagnostics (Basel, Switzerland) · 2025Article
- AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images.Frontiers in artificial intelligence · 2025Article
- Feasibility of a deep learning artificial intelligence model for the diagnosis of pediatric ileocolic intussusception with grayscale ultrasonography.Ultrasonography (Seoul, Korea) · 2024Article
- Liver Transplant in Patients with Hepatocarcinoma: Imaging Guidelines and Future Perspectives Using Artificial Intelligence.Diagnostics (Basel, Switzerland) · 2023Review
- A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based onJapanese journal of radiology · 2023Article
- Unveiling the future of breast cancer assessment: a critical review on generative adversarial networks in elastography ultrasound.Frontiers in oncology · 2023Review
- Deep learning for emergency ascites diagnosis using ultrasonography images.Journal of applied clinical medical physics · 2022Article
- Music Score Recognition Method Based on Deep Learning.Computational intelligence and neuroscience · 2022Article
- New frontiers in liver ultrasound: From mono to multi parametricity.World journal of gastrointestinal oncology · 2021Review
- Deep Neural Architectures for Contrast Enhanced Ultrasound (CEUS) Focal Liver Lesions Automated Diagnosis.Sensors (Basel, Switzerland) · 2021Article
- Large Bowel Ischemia/Infarction: How to Recognize It and Make Differential Diagnosis? A Review.Diagnostics (Basel, Switzerland) · 2021Review
- Artificial intelligence for ultrasonography: unique opportunities and challenges.Ultrasonography (Seoul, Korea) · 2021Article
- Renal fibrosis assessment in chronic kidney disease: Exploring varied kidney regions with ultrasound-based radiomics analysis.Science progressArticle
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1 author.
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No grant is acknowledged in the PubMed record.
Abstract
Deep learning is one of the most popular artificial intelligence techniques used in the medical field. Although it is at an early stage compared to deep learning analyses of computed tomography or magnetic resonance imaging, studies applying deep learning to ultrasound imaging have been actively conducted. This review analyzes recent studies that applied deep learning to ultrasound imaging of various abdominal organs and explains the challenges encountered in these applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.