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Updated: May 3, 2026

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在SUSAN Denoising和ComBat协调对机器学习模型对恶性脑新生瘤的性能的影响

Girish Bathla1,2, Neetu Soni3,4, Ian T Mark2

  • 1From the Department of Radiology (G.B., N.S.), University of Iowa Hospitals and Clinics, Iowa City, Iowa Bathla.Girish@mayo.edu.

AJNR. American journal of neuroradiology
|April 11, 2024
PubMed
概括

预处理脑瘤放射学特征与SUSAN denoising和Combining Batches协调改善了多类分类模型的性能,特别是在外部数据集上. 这些方法提高了在多机构环境中的通用性.

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Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
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