Medicine and HealthNature Communications
Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks
E. Erdil, A. S. Becker, et al.
This innovative research led by a team of experts—including Ertunc Erdil, Anton S. Becker, and others—introduces a groundbreaking method using convolutional neural networks to enhance the identification of active Brown Adipose Tissue. With results showing a significant boost in accuracy over traditional methods, this study paves the way for more efficient and cost-effective large-scale BAT imaging using unenhanced CT scans.
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