A transformer-guided cross-modality adaptive feature fusion framework for esophageal gross tumor volume segmentation.
Comput. Methods Programs Biomed., 2024
Automatic segmentation of esophageal gross tumor volume in <sup>18</sup>F-FDG PET/CT images via GloD-LoATUNet.
Comput. Methods Programs Biomed., February, 2023
CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron.
Comput. Biol. Medicine, 2022
G-DipC: An Improved Feature Representation Method for Short Sequences to Predict the Type of Cargo in Cell-Penetrating Peptides.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Kernel principal component analysis based on semi-supervised dimensionality reduction and its application on protein subnuclear localization.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017