3 papers
cs.CV2026
An end-to-end-trained vision-language model for native-language prostate pathology report generation
Christian Grashei, Fabian Gülhan, Maximilian Legnar +4
Prostate cancer is among the most frequently diagnosed malignancies worldwide, and structured reporting of each biopsy core burdens pathologists. Existing tools frame this as class…
cs.CV2026
Paired Uterine Whole-Slide Images and Pathology Reports for Multimodal Computational Pathology
Han Li, Jingsong Liu, Ayako Ura +14
Uterine diseases represent an important category of gynecologic pathology and require accurate histopathological assessment for diagnosis and treatment planning. Whole-slide images…
eess.IV2025
From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC
Jingsong Liu, Xiaofeng Deng, Han Li +8
Hematoxylin and eosin (H&E) staining is the clinical standard for assessing tissue morphology, but it lacks molecular-level diagnostic information. In contrast, immunohistochemistr…