With the rise in computing power, deep-learning based computer-aided diagnosis systems have gained interest in the research community. Our system process the images to assist doctors to determine whether the patients have nodules in lungs. Meanwhile, we utilized the Feature Pyramid Network to extend the receptive field on the convolutional kernel, which improved the performance on the nodule detection with various locations in CXR. The semi-supervised learning mechanism also achieves the way of soft-annotation to reduce human effort in medical image annotation.

"The designed ultrasound gel is modified with nanocrystalnanofiber. The product is designed to be sterilizablefits well to the ultrasound probe. With such nanomaterials, our product shows great ultrasound transmission abilityenhanced mechanical strength. The highlights of the this ultrasound agent include: (1) Enhanced compressibilitytensile strength with adjustable composition. (2) Improved infection controlreduced risk of complication. (3) Improved transmission depth with certain thicknessimproved image quality within superficial region."

We developed a wearable ultrasound monitoring device to monitor the collapse of tongue roots of sleep respiratory patients throughout the night,completed clinical trials in the sleep center. The experimental results show that this device can effectively monitor OSA. The tongue structure changes at the timeintegrates ultrasound information into the commercial PSG system. It is expected