MODEL PROFILE

phikon-v2

owkin · phikon-v2

Phikon-v2 is a Vision Transformer Large pre-trained with Dinov2 self-supervised method on PANCAN-XL, a dataset of 450M 20x magnification histology images sampled from 60K whole slide images. PANCAN-XL only incorporates publicly available datasets: CPTAC (6,193 WSI) and TCGA (29,502 WSI) for malignant tissue, and GTEx for normal tissue (13,302 WSI). Phikon-v2 improves upon Phikon, our previous foundation model pre-trained with iBOT on 40M histology images from TCGA (6k WSI), on a large variety of weakly-supervised tasks tailored for biomarker discovery. Phikon-v2 is evaluated on external cohorts to avoid any data contamination with PANCAN-XL pre-training dataset, and benchmarked against an exhaustive panel of representation learning and foundation models. - **Developed by:** Owkin, Inc - **Model type:** Pretrained vision backbone (ViT-L/16 via DINOv2) - **Pretraining dataset:** PANCAN-XL, sourced from public histology collections (TCGA, CPTAC, GTEx, TCIA and others). - **Paper:** Arxiv - **License:** Owkin non-commercical licence

license:other
Context windowNot disclosed
Input → Output待核验 → 待核验
Model weightsNot verified
Profile updated2026/10/31 18:05:20
OVERVIEW

Model overview

Phikon-v2 is a Vision Transformer Large pre-trained with Dinov2 self-supervised method on PANCAN-XL, a dataset of 450M 20x magnification histology images sampled from 60K whole slide images. PANCAN-XL only incorporates publicly available datasets: CPTAC (6,193 WSI) and TCGA (29,502 WSI) for malignant tissue, and GTEx for normal tissue (13,302 WSI). Phikon-v2 improves upon Phikon, our previous foundation model pre-trained with iBOT on 40M histology images from TCGA (6k WSI), on a large variety of weakly-supervised tasks tailored for biomarker discovery. Phikon-v2 is evaluated on external cohorts to avoid any data contamination with PANCAN-XL pre-training dataset, and benchmarked against an exhaustive panel of representation learning and foundation models. - **Developed by:** Owkin, Inc - **Model type:** Pretrained vision backbone (ViT-L/16 via DINOv2) - **Pretraining dataset:** PANCAN-XL, sourced from public histology collections (TCGA, CPTAC, GTEx, TCIA and others). - **Paper:** Arxiv - **License:** Owkin non-commercical licence

Key features

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INDEPENDENT BENCHMARKS

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