Collaborative Research: CISE MSI: RCBP: SCH: Advancing Breast-Cancer Detection in Ultrasou — NSF Award to University of Tennessee
Early detection of breast cancer is critical to decreasing mortality, and breast-ultrasound imaging is commonly employed in early diagnosis due to its widespread availability, portability, and affordability. Yet, breast ultrasound is inherently noisy and of low contrast, characteristics that challenge its effectiveness
| Award title | Collaborative Research: CISE MSI: RCBP: SCH: Advancing Breast-Cancer Detection in Ultrasou |
|---|---|
| Award ID | 2430747 |
| Awardee | University of Tennessee Chattanooga |
| City | CHATTANOOGA |
| State | TN |
| Amount obligated | $195,000 |
| Principal investigator | Yingfeng Wang |
| Program | CISE MSI Research Expansion |
| Start date | 09/01/2024 |
| Abstract | Early detection of breast cancer is critical to decreasing mortality, and breast-ultrasound imaging is commonly employed in early diagnosis due to its widespread availability, portability, and affordability. Yet, breast ultrasound is inherently noisy and of low contrast, characteristics that challenge its effectiveness at breast-cancer diagnosis and hinder application of automated deep-learning methods. Furthermore, the training such state-of-the-art deep learning requires extensive training sam |
| Source | NSF Awards |
$799/mo
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