Multi-label chest X-ray image classification via semantic similarity graph embedding
Automated multi-label chest X-ray (CXR) image classification has recently made significant
progress in clinical diagnosis based on the advanced deep learning techniques. However …
progress in clinical diagnosis based on the advanced deep learning techniques. However …
Efficient predictor of pressurized water reactor safety parameters by topological information embedded convolutional neural network
Accurate forecasts for pressurized water reactor safety parameters are essential to ensure
the safe operation of nuclear reactors. Potential of artificial neural networks on this task is …
the safe operation of nuclear reactors. Potential of artificial neural networks on this task is …
An l½ and Graph Regularized Subspace Clustering Method for Robust Image Segmentation
Segmenting meaningful visual structures from an image is a fundamental and most-
addressed problem in image analysis algorithms. However, among factors such as diverse …
addressed problem in image analysis algorithms. However, among factors such as diverse …
Weight Vector Adjustment-Based Multi-objective Segmentation of Reconstructed Thermal Images
C Yin, X Huang, X Tan, J Liu - … Damage Detection and Analysis Method for …, 2024 - Springer
Complex damage has special segmentation needs during reconstructed thermal image
segmentation. In this section, three segmentation objective functions oriented towards the …
segmentation. In this section, three segmentation objective functions oriented towards the …