{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/recognizing-focal-liver-lesions-in-contrast","title":"Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model","arxiv_id":"1502.00750","date":"2015-02-03","proceeding":null,"authors":["Xiaodan Liang","Qingxing Cao","Rui Huang","Liang Lin"],"abstract":"The aim of this study is to provide an automatic computational framework to\nassist clinicians in diagnosing Focal Liver Lesions (FLLs) in\nContrast-Enhancement Ultrasound (CEUS). We represent FLLs in a CEUS video clip\nas an ensemble of Region-of-Interests (ROIs), whose locations are modeled as\nlatent variables in a discriminative model. Different types of FLLs are\ncharacterized by both spatial and temporal enhancement patterns of the ROIs.\nThe model is learned by iteratively inferring the optimal ROI locations and\noptimizing the model parameters. To efficiently search the optimal spatial and\ntemporal locations of the ROIs, we propose a data-driven inference algorithm by\ncombining effective spatial and temporal pruning. The experiments show that our\nmethod achieves promising results on the largest dataset in the literature (to\nthe best of our knowledge), which we have made publicly available.","url_abs":"http://arxiv.org/abs/1502.00750v1","url_pdf":"http://arxiv.org/pdf/1502.00750v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"recognizing-focal-liver-lesions-in-contrast","repo_url":"https://github.com/lemondan/Focal-liver-lesions-dataset-in-CEUS","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"sysu-ceus","name":"SYSU-CEUS","full_name":null}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}