IEEE International Symposium on Biomedical Imaging

Tribranchu-Net: A Size-Sensitive Network for Orbital Tumor Segmentation

Normative Modeling Via Conditional Variational Autoencoder And Adversarial Learning to Identify Brain Dysfunction In Alzheimer'S Disease

Variable Step-Size Fast Iterative Shrinkage Thresholding Algorithm for Fluorescence Molecular tomography

Planar to Spatial: A Synapse Reconstruction Method to Rebuild Voxel Connections for Anisotropic Serial Em Images

MNGLO-Net: A Cascade Network for Detecting Glomerulus And Classifying Pathological Types of Membranous Nephropathy

Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation

Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images

A Registration- And Uncertainty-Based Framework for White Matter Tract Segmentation with only one Annotated Subject

Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules In Chest Ct Scans

Robust X-Ray Image Stitching Algorithm Based on Refining Matching Results of Feature Descriptors

RC-Mask: Rotated-Count-Mask for Chromosome Segmentation

Multi-Task Residual Cross-Attention Network for Tumor Segmentation And Lymph Node Metastasis Prediction In Cervical Cancer