3 papers
cs.CV2026
Auditing Data Leakage in Whole-Slide Image Multimodal Benchmarks
Wenhao Zhang, Zhongliang Zhou, John Kang +1
Recent vision-language models (VLMs) for computational pathology report striking zero-shot performance on whole-slide image (WSI) visual question answering (VQA) benchmarks. We aud…
cs.CV2026
DiffusionQC: Artifact Detection in Histopathology via Diffusion Model
Zhenzhen Wang, Zhongliang Zhou, Zhuoyu Wen +3
Digital pathology plays a vital role across modern medicine, offering critical insights for disease diagnosis, prognosis, and treatment. However, histopathology images often contai…
cs.CV2026
Enhanced Diagnostic Performance via Large-Resolution Inference Optimization for Pathology Foundation Models
Mengxuan Hu, Zihan Guan, John Kang +2
Despite their prominent performance on tasks such as ROI classification and segmentation, many pathology foundation models remain constrained by a specific input size e.g. 224 x 22…