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cs.CV2025
ViDRiP-LLaVA: A Dataset and Benchmark for Diagnostic Reasoning from Pathology Videos
Trinh T. L. Vuong, Jin Tae Kwak
We present ViDRiP-LLaVA, the first large multimodal model (LMM) in computational pathology that integrates three distinct image scenarios, including single patch images, automatica…
cs.CV2025
VLEER: Vision and Language Embeddings for Explainable Whole Slide Image Representation
Anh Tien Nguyen, Keunho Byeon, Kyungeun Kim +1
Recent advances in vision-language models (VLMs) have shown remarkable potential in bridging visual and textual modalities. In computational pathology, domain-specific VLMs, which…
cs.CV2024★ 2 cited
Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios
Jeaung Lee, Jeewoo Lim, Keunho Byeon +1
In computational pathology, several foundation models have recently emerged and demonstrated enhanced learning capability for analyzing pathology images. However, adapting these mo…