Ultrasound imaging technology plays an important role to assist doctors in diagnosing thyroid nodules. The tissue structure around the thyroid is very complex, which makes it difficult to segment and extract the ultrasound image of thyroid nodules accurately. For address this problem, this paper proposes a model algorithm for thyroid nodule ultrasound image segmentation using ASPP fusion features. First, spatial pyramid pooling and depthwise separable convolution are combined in order to solve the problem that the size of the mapping feature will change in the process of better capturing the context information. Besides, Atrous Spatial Pyramid Pooling (ASPP) is proposed to achieve the purpose of processing input image channel and spatial information separately. In order to appropriately reduce the dimension and size of feature images, a 1×1 convolution operation is performed before each convolution calculation, and the model size is optimized. In the decoding stage, decoder module appropriately adjusts the feature map with a relatively low resolution previously from decoder module, and sets the output channel number of two convolutions to the same value. All features have the same dimension by adjustment, and features can be fused by element-wise summation. Finally, Dice Similarity Coefficient (DSC), Prevent Match (PM) and Correspondence Patio (CR) are used as evaluation criteria to compare with other model algorithms. The experimental results show that the proposed model can significantly improve the segmentation effect of ultrasound images for thyroid nodules compared with traditional models.

Yating Wu, Ritika Mangla, Greg Durrett, Junyi Li. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.

In order to fabricate a porous cuprous oxide film with photocatalytic performance, a novel electrochemical anodization and chemical foaming combination method was designed. Copper foil was first anodized in acidic ammonium chloride electrolyte, then it was foamed in a hydrogen peroxide solution and the spongy-structured cuprous oxide film was finally achieved. This porous cuprous oxide film presents higher photocatalytic activity than ordinary cuprous oxide microcrystalline films due to its larger specific surface area.

Yating Wu, William Sheffield, Kyle Mahowald, Junyi Li. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.