{"version":"1.0","type":"link","title":"Harnessing Native-Resolution 2D Embeddings for Lung Cancer Classification: A Feasibility Study with the RAD-DINO Self-supervised Foundation Model.","author_name":"Hoq ME 외","author_url":"https://prs-insight.online/author/Hoq%20ME","provider_name":"PRSinsight","provider_url":"https://prs-insight.online","thumbnail_url":"https://prs-insight.online/og/paper/100047","thumbnail_width":1200,"thumbnail_height":630}