1 citations · 1 across the 4 of their papers we have counts for
4 papers
UnPuzzle: A Unified Framework for Pathology Image Analysis
Dankai Liao, Sicheng Chen, Nuwa Xi +10
Pathology image analysis plays a pivotal role in medical diagnosis, with deep learning techniques significantly advancing diagnostic accuracy and research. While numerous studies h…
PuzzleTuning: Explicitly Bridge Pathological and Natural Image with Puzzles
Tianyi Zhang, Shangqing Lyu, Yanli Lei +7
Pathological image analysis is a crucial field in computer vision. Due to the annotation scarcity in the pathological field, pre-training with self-supervised learning (SSL) is wid…
CPIA Dataset: A Comprehensive Pathological Image Analysis Dataset for Self-supervised Learning Pre-training
Nan Ying, Yanli Lei, Tianyi Zhang +6
Pathological image analysis is a crucial field in computer-aided diagnosis, where deep learning is widely applied. Transfer learning using pre-trained models initialized on natural…
MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer
Tianyi Zhang, Yunlu Feng, Yu Zhao +9
Pancreatic cancer is one of the most malignant cancers in the world, which deteriorates rapidly with very high mortality. The rapid on-site evaluation (ROSE) technique innovates th…