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儿童腹部CT器官细分的深度学习模型:在内部和异质公共数据库中进行开发和验证

Elanchezhian Somasundaram1,2, Zachary Taylor1, Vinicius V Alves1

  • 1Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5033, Cincinnati, OH 45229.

AJR. American journal of roentgenology
|May 1, 2024
PubMed
概括

对于儿科腹部器官细分的深度学习模型,利用公共数据集上的转移学习 (TL) 和与机构数据的微调,与本地培训和现有模型相比显示出更高的性能. 这一进步为改善儿科成像体积应用提供了潜力.

关键词:
孩子们的孩子们的孩子们的孩子们.深度学习是一种深度学习.肝脏 肝脏 肝脏 肝脏 肝脏 肝脏细分化 细分化的细分化脊髓 脊髓 脊髓 是一个

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Imaging Studies III: Computed Tomography01:27

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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