Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges
机构 * Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, Nanjing, China(新型一代人工智能技术及其交叉应用重点实验室(东南大学),教育部,南京,中国) ; School of Biomedical Engineering, Tsinghua University(生物医学工程学院,清华大学) ; Department of Biomedical Engineering and Department of Electrical and Computer Engineering, National University of Singapore(生物医学工程系和电子与计算机工程系,新加坡国立大学) ; School of Information Science and Engineering, Southeast University(信息科学与工程学院,东南大学) ; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University(流行病学系,全球健康中心,公共卫生学院,南京医科大学) ; Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore(高性能计算研究所,科技研究局,新加坡)
专题命中 病理影像 :pathology(title,abstract);分类 cs.CV、eess.IV
Comments 20 pages, 8 figures