3 papers
cs.CV2024
ReshapeIT: Reliable Shape Interaction with Implicit Template for Anatomical Structure Reconstruction
Minghui Zhang, Hao Zheng, Yawen Huang +2
Shape modeling of volumetric medical images is crucial for quantitative analysis and surgical planning in computer-aided diagnosis. To alleviate the burden of expert clinicians, re…
cs.CV2024
MergeUp-augmented Semi-Weakly Supervised Learning for WSI Classification
Mingxi Ouyang, Yuqiu Fu, Renao Yan +5
Recent advancements in computational pathology and artificial intelligence have significantly improved whole slide image (WSI) classification. However, the gigapixel resolution of…
cs.CV2024
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification
Xuenian Wang, Shanshan Shi, Renao Yan +4
In the field of whole slide image (WSI) classification, multiple instance learning (MIL) serves as a promising approach, commonly decoupled into feature extraction and aggregation.…