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cs.CV2026
MINT: Molecularly Informed Training with Spatial Transcriptomics Supervision for Pathology Foundation Models
Minsoo Lee, Jonghyun Kim, Juseung Yun +2
Pathology foundation models learn morphological representations through self-supervised pretraining on large-scale whole-slide images, yet they do not explicitly capture the underl…
cs.CV2025
EXAONE Path 2.0: Pathology Foundation Model with End-to-End Supervision
Myeongjang Pyeon, Janghyeon Lee, Minsoo Lee +7
In digital pathology, whole-slide images (WSIs) are often difficult to handle due to their gigapixel scale, so most approaches train patch encoders via self-supervised learning (SS…