Machine Learning for Image Analysis

• 5488 · PDF 从癌症样本水平的组成数据推断组织元素身份 Inferring tissue element identities from sample-level compositional data in cancer Georgios Asimomitis, Kevin M. Boehm, Konstantinos Liosis, Armaan Kohli, Tom Pollard, Andrew Aukerman, Arfath Pasha, Anika Begum, Lora H. Ellenson, Jinru Shia, Hong A. Zhang, Nikolaus Schultz, Sohrab P. Shah, Francisco Sanchez-Vega
• 5489 · PDF 多尺度基础AI描述符实现数字化肾细胞癌病理中肿瘤的精确定位 Multi-scale foundational AI descriptors enable accurate tumor localization in digitized renal cell carcinoma pathology Sahil Kapadia, Brennan Flannery, Satish Viswanath
• 5490 · PDF 可扩展且可解释的多模态AI：通过基于图像的编码整合影像与基因组学以进行癌症和疾病分类 Scalable and interpretable multimodal AI: Integrating imaging and genomics via image-based encodingfor cancer and disease classification Sakib Mostafa, Md. Tauhidul Islam
• 5491 · PDF 用于从常规组织病理学图像进行癌症单细胞注释的AI基础模型 AI foundation model for single cell annotation from conventional histopathology images of cancer Xiangqi Bai, HoJoon Lee, Xiao Tan, Chaoyi Li, Anuja Sathe, Yan Wang, Quan Nguyen, Hanlee P. Ji
• 5492 · PDF 高度多重成像中的差异蛋白质模式分析 Differential protein pattern analysis in highly multiplexed imaging Gourab Ghosh Roy, Peng Jiang
• 5493 · PDF 癌症中抑酸治疗处方的模式：我们是在治疗症状还是在助长疾病？ Patterns of acid-suppressive therapy prescriptions in cancer: Are we treating symptoms or fueling the disease? M. Payling, Bea Bakshi, Marta Sakal
• 5494 · PDF 用于免疫肿瘤学的多重免疫组化：表征肿瘤微环境的一种灵活方法 Multiplex immunohistochemistry for immuno-oncology: A flexible approach to characterize the tumor microenvironment Elena Baranova, Sabine Iglesias, Amanda Finan-Marchi, Manon Motte, Renaud Burrer, Rania Gaspo, Marie Gerus-Durand
• 5495 · PDF AI辅助的实体瘤Ki67评估：与病理专家相比的一致性与可靠性 AI-assisted Ki67 evaluation in solid tumors: Consistency and reliability compared to expert pathologists Rania Gaspo, Xavier Pichon, Maroua Tliba, Sabine Iglesias, Darshan Kumar, Renaud Burrer, Amanda Finan-Marchi, Marie Gérus-Durand

在会议检索中浏览本分会场