{"type":"ScholarlyArticle","title":"A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model","authors":[{"name":"Haibo Mi","slug":"haibo-mi","given":"Haibo","family":"Mi","affiliation":"School of Computer , National University of Defense Technology , Changsha , China"},{"name":"Kele Xu","slug":"kele-xu","given":"Kele","family":"Xu","affiliation":"School of Computer , National University of Defense Technology , Changsha , China"},{"name":"Yang Xiang","slug":"yang-xiang","given":"Yang","family":"Xiang","affiliation":"School of Computer , National University of Defense Technology , Changsha , China"},{"name":"Yulin He","slug":"yulin-he","given":"Yulin","family":"He","affiliation":"School of Computer , National University of Defense Technology , Changsha , China"},{"name":"Dawei Feng","slug":"dawei-feng","given":"Dawei","family":"Feng","affiliation":"School of Computer , National University of Defense Technology , Changsha , China"},{"name":"Huaimin Wang","slug":"huaimin-wang","given":"Huaimin","family":"Wang","affiliation":"School of Computer , National University of Defense Technology , Changsha , China"},{"name":"Chun Wu","slug":"chun-wu","given":"Chun","family":"Wu","affiliation":"Abcarta Inc. , Suzhou , China"},{"name":"Yanming Song","slug":"yanming-song","given":"Yanming","family":"Song","affiliation":"Abcarta Inc. , Suzhou , China"},{"name":"Xiaolei Sun","slug":"xiaolei-sun","given":"Xiaolei","family":"Sun","affiliation":"Abcarta Inc. , Suzhou , China"}],"abstract":"Recently, deep learning has witnessed dramatic progress in the medical image analysis field. In the precise treatment of cancer immunotherapy, the quantitative analysis of PD-L1 immunohistochemistry is of great importance. It is quite common that pathologists manually quantify the cell nuclei. This process is very time-consuming and error-prone. In this paper, we describe the development of a platform for PD-L1 pathological image quantitative analysis using deep learning approaches. As point-level annotations can provide a rough estimate of the object locations and classifications, this platform adopts a point-level supervision model to classify, localize, and count the PD-L1 cells nuclei. Presently, this platform has achieved an accurate quantitative analysis of PD-L1 for two types of carcinoma, and it is deployed in one of the first-class hospitals in China.","doi":"10.24963/ijcai.2019/954","url":"https://ijcai.org/proceedings/2019/954","pdf":"https://ijcai.org/proceedings/2019/0954.pdf","markdown":"https://ijcai.org/proceedings/2019/954.md","bibtex":"https://ijcai.org/proceedings/2019/bibtex/954","volume":{"slug":"2019","title":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2019","url":"https://ijcai.org/proceedings/2019/","year":2019,"location":"Macao","dates":"10-16 August 2019","editors":"Sarit Kraus","isbn":"978-0-9992411-4-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2019"},"section":"Demos","track":"Demos","number":954,"pages":{"first":6554,"last":6556},"keywords":["AI: Computer Vision","Applications: Medical and healthcare"],"videos":[],"references":[{"position":1,"raw":"[Arteta et al., 2016] Carlos Arteta, Victor Lempitsky, J Al- ison Noble, and Andrew Zisserman. 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