logo
ResearchBunny Logo
Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks

Medicine and Health

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.

00:00
00:00
~3 min • Beginner • English
Citation Metrics
Citations
1
Influential Citations
0
Reference Count
0
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny