194-THREADS: Foundational AI Model for Histopathology
This paper introduces THREADS, a new molecular-driven foundation model for oncologic pathology designed to address the challenge of data scarcity in specialized oncology tasks. THREADS is a general-purpose encoder model that generates Whole-Slide Image (WSI) embeddings, pre-trained using multimodal contrastive learning guided by corresponding molecular profiles, which the authors posit offers an unbiased view of tissue morphology. The model was trained on the extensive MBTG-47K dataset, comprising over 47,000 paired WSI and molecular profiles from diverse sources like TCGA and various…
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