医学 AI

impuTMAE: Multi-modal Transformer with Masked Pre-training for Missing Modalities Imputation in Cancer Survival Prediction

Maria Boyko, Aleksandra Beliaeva, Dmitriy Kornilov, Alexander Bernstein, Maxim Sharaev

机构 * Center for Applied AI, Skolkovo Institute of Science and Technology, Moscow, Russian Federation（应用人工智能中心，斯克尔科夫科学与技术研究所，莫斯科，俄罗斯联邦） ； BIMAI-Lab, Biomedically Informed Artificial Intelligence Laboratory, University of Sharjah, Sharjah, United Arab Emirates（BIMAI实验室，生物医学导向人工智能实验室，肖贾联合大学，肖贾，阿拉伯联合酋长国） ； Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russian Federation（伊万诺夫俄罗斯科学院系统编程研究所，莫斯科，俄罗斯联邦） 纠错

专题命中 病理影像 ：medical image(abstract)；MRI(abstract)；分类 cs.CV、eess.IV

Pediatric brain tumor classification using digital histopathology and deep learning: evaluation of SOTA methods on a multi-center Swedish cohort

Iulian Emil Tampu, Per Nyman, Christoforos Spyretos, Ida Blystad, Alia Shamikh, Gabriela Prochazka, Teresita Díaz de Ståhl, Johanna Sandgren, Peter Lundberg, Neda Haj-Hosseini

机构 * Department of Biomedical Engineering, Linköping University, Sweden（生物医学工程系，利厄普大学） ； Center for Medical Image Science and Visualization, Linköping University, Sweden（医学影像科学与可视化中心，利厄普大学） ； Crown Princess Victoria Children’s Hospital and Department of Health, Medicine and Caring Sciences, Linköping University, Sweden（维多利亚公主儿童医院和健康、医学与关怀科学系，利厄普大学） ； Department of Radiology and Department of Health, Medicine and Caring Sciences, Linköping University, Sweden（放射科和健康、医学与关怀科学系，利厄普大学） ； Department of Oncology-Pathology, Karolinska Institutet, Solna, Sweden（肿瘤病理学系，卡罗林斯卡研究所，索纳） ； Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Sweden（临床病理学和癌症诊断系，卡罗林斯卡大学医院） ； Department of Radiation Physics and Department of Medical and Health Sciences, Linköping University, Sweden（放射物理系和医学与健康科学系，利厄普大学） 纠错

专题命中 病理影像 ：pathology(abstract,journal_ref)；分类 cs.CV

Journal ref Tampu IE et al. Pediatric brain tumor classification using digital pathology and deep learning: Evaluation of SOTA methods on a multi-center Swedish cohort. Brain Pathology. 2025. e70029

A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data

Raphael Morsomme, Shannon Holloway, Marc Ryser, Jason Xu

专题命中 病理影像 ：diagnosis(abstract)

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