Showing 1–12 of 12 results
/ Date/ Name
Apr 17, 2026SegMix:Shuffle-based Feedback Learning for Semantic Segmentation of Pathology ImagesOct 9, 2024MDiff-FMT: Morphology-aware Diffusion Model for Fluorescence Molecular Tomography with Small-scale DatasetsNov 21, 2023Generating Progressive Images from Pathological Transitions via Diffusion ModelNov 12, 2023PuzzleTuning: Explicitly Bridge Pathological and Natural Image with PuzzlesOct 27, 2023CPIA Dataset: A Comprehensive Pathological Image Analysis Dataset for Self-supervised Learning Pre-trainingJan 27, 2023CellMix: A General Instance Relationship based Method for Data Augmentation Towards Pathology Image ClassificationAug 14, 2022Shuffle Instances-based Vision Transformer for Pancreatic Cancer ROSE Image ClassificationJun 7, 2022Pancreatic Cancer ROSE Image Classification Based on Multiple Instance Learning with Shuffle InstancesDec 27, 2021MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic CancerOct 10, 2021Prior Attention Network for Multi-Lesion Segmentation in Medical ImagesFeb 10, 2021D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismApr 26, 2020Transmission electron microscopy of organic-inorganic hybrid perovskites: myths and truths