The Lancet

Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study

eInstitute of Otorhinolaryngology, Clinical Research Center, Eye and ENT Hospital, Fudan University, Shanghai, China fDepartment of Otorhinolaryngology, Huazhong University of Science and Technology ...
IEEE

TRAM-UNet: Transformer and Region Attention Module based U-Net for Breast Ultrasound Image Segmentation

Abstract: Segmentation of breast ultrasound images is crucial for the early and accurate diagnosis of breast cancer. In this study, we propose TRAM-UNet (Transformer and Region Attention Module-Based ...
IEEE

Module Development of a High-Power-Density High-Efficiency Cryogenic Solid State Circuit Breaker for Electrified Aircraft Propulsion

Abstract: Solid state circuit breaker (SSCB) with high efficiency and high gravimetric power density is required for Electrified Aircraft Propulsion (EAP). A cryogenically cooled GaN device based SSCB ...