Model Card for 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. Model Description 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 How To Use (Feature Extraction) The following code snippet allows you to extract features from histology images using Phikon v2 (CLS token). T…
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