With foundation-model features, aggregator complexity does not improve cross-hospital discrimination in gastric whole-slide image classification
eess.IV, cs.AI, cs.CV
Submitted: 2026-10-30
Updated: 2026-10-30
Related papers
- Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification
- SCoPE-Reg: Efficient Rigid Ultrasound Slice-to-Volume Registration via State-Space Correlation and Closed-Form Pose Estimation
- Cross-Attention Multimodal Fusion for Breast Cancer Diagnosis: Integrating Mammography and Clinical Data with Explainability
- GBT-SAM: A Parameter-Efficient Depth-Aware Model for Generalizable Brain tumour Segmentation on mp-MRI
- PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution
- Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation