MFFUNet: A hybrid model with cross-attention-guided multi-feature fusion for automated segmentation of organs at risk in cervical cancer brachytherapy.

BCTVNet: A 3D hybrid segmentation neural network for clinical target volume delineation of cervical cancer brachytherapy.

ALDA-UNet: Missing target segmentation based on active learning and deformation filling attention.

An Effective Convolutional Neural Network for Classification of Benign and Malignant Breast and Thyroid Tumors from Ultrasound Images.Physical and Engineering Sciences in Medicine

ART: An Efficient Transformer with Atrous Residual Learning for Medical Images.IEEE International Conference on Multimedia and Expo 2023

A two-stage CNN method for MRI image segmentation of prostate with lesion.Biomedical Signal Processing and Control