Digital Pathology 3

• 4151 · PDF 基于手机的便携式切片数字化系统，用于支持AI的组织病理学分析 Phone-based portable slide digitization system for AI-enabled histopathology Sergii Domanskyi, Todd Sheridan, Javad Noorbakhsh, Jeffrey H. Chuang, Jill Carol Rubinstein
• 4152 · PDF 初治原发性前列腺癌病例中雄激素受体非依赖表型的识别与表型评估 Identification and phenotypical evaluation of androgen receptor indifferent phenotype in treatment-naïve primary prostate cancer cases Tessa Tolson, Beatrice Knudsen, Wei Zhang, Mason Hovinga, Chance Walker, Galaxy Yang, Erika Egal, Yosep Chong, Michael Freeman, Yi Qiao
• 4153 · PDF 通过肿瘤数字孪生推进精准肿瘤学：一种用于苏木精-伊红图像中肺腺癌组织病理学亚型分型的通用ViT确定切缘一致模型 Advancing precision oncology through tumor digital twins: A versatile ViT-determined margin-consistent model for lung adenocarcinoma histopathologic subtyping in hematoxylin-eosin images Meghdad Sabouri Rad, Mohammad Mehdi Hosseini, Muhammad Hassaan Khalid, Saverio J. Carello, Michel R. Nasr, Rossana Kazemimood, Ola El-Zammar, Bardia Rodd
• 4154 · PDF 多重免疫荧光图像的图论空间异质性分析实现对输卵管中HGSC前驱病变的定量鉴别 Graph theoretic spatial heterogeneity analysis of multiplexed immunofluorescence images enables quantitative differentiation of HGSC precursor lesions in the fallopian tube Thomas Jacob, T. Rinda Soong, Shikhar Uttam
• 4155 · PDF 利用深度学习从H&E切片开发虚拟Cyclin E1生物标志物以预测妇科恶性肿瘤中Cyclin E1的过表达 Development of a virtual Cyclin E1 biomarker using Deep Learning from H&E slides for predicting Cyclin E1 overexpression in gynecological malignancy Jeannette Fuchs, Kenneth To, Christopher Jackson, Lawrence Schobs, Rohan Lyons, Rafay Azhar
• 4156 · PDF 用于头颈部鳞状细胞癌空间分析的全面40标志物循环免疫荧光（IF）面板 Comprehensive 40-marker cyclic IF panel for spatial profiling of head and neck squamous cell carcinoma Danielle Fails, Alyssa Hernandez, Mike Spencer
• 4157 · PDF 通过一种新型17重免疫荧光方法补充H&E对实体瘤进行空间免疫分析 Spatial immune profiling of solid tumors by complementing H&E with a novel 17-plex immunofluorescence approach Richard Van Krieken, Jaspreet Kaur, Xun Li, Naveen Dakappagari, Jennifer Bordeaux
• 4158 · PDF 细胞系作为IHC染色样本定量连续评分（QCS）的质量对照 Cell lines as quality controls for Quantitative Continuous Scoring (QCS) of IHC stained samples Ana Hidalgo-Sastre, Tze Heng Tan, Nicolas Giraldo, Nathalie Harder, Sophia Varriano, Andrew Kunihiro, Guenter Schmidt, Hadassah Sade, Yeoun Jin Kim, Marlon Rebelatto, Mark Gustavson
• 4159 4159 基于多重免疫荧光的Treg细胞自动化稳健归一化与情境感知拯救 Automated robust normalization and context-aware rescue of TReg cells from multiplex immunofluorescence Joao Paulo Oliveira da Costa, Alina Ainbinder, Kenneth Trieu, Henry Reinhart, Yury Sheikin
• 4160 · PDF 确保病理学家判读一致以保障多中心肿瘤学IVD/CDx临床试验的数据完整性 Ensuring pathologist alignment to safeguard data integrity in multi-centre oncology IVD/CDx clinical trials Lindsey Bennie, Bethany Montgomery, David Ribeiro
• 4161 · PDF ViewsML vIHC平台用于生物标志物分类和强度分箱的验证：与Histowiz PathologyMap平台的试点合作 Validation of the ViewsML vIHC platform for biomarker classification and intensity binning: A pilot collaboration with Histowiz's PathologyMap platform Akash Parvatikar, Patrick Savickas, Chris Lee, Jeffrey Shek, Kenneth To, Christopher Jackson, Lawrence Schobs, Rohan Lyons, Rafay Azhar
• 4162 · PDF 基于AI的IHC染色NSCLC标本中TROP2表达的检测与评分 AI-based detection and scoring of TROP2 expression in IHC-stained NSCLC specimens Jeff Lock, Adam Hsiung, Kevin Gallagher, Harry Nunns, Nam Tran, Ben Ovadia, Arezoo Hanifi, Qingyan Au
• 4163 · PDF 用于空间蛋白质组学的通用AI基础模型 A general-purpose AI foundation model for spatial proteomics Andrew H. Song, Anurag Vaidya, Muhammad Shaban, Yuzhou Chang, Huaying Qiu, Yao Y. Yeo, Guillaume Jaume, Wenrui Wu, Qin Ma, Sizun Jiang, Faisal Mahmood
• 4164 · PDF 基于扩散模型的色卡在组织学图像批次校正中的实现 Implementation of a diffusion-based color checker for histological image batch correction Arman Petrosyants, Vaagn Chopuryan, Vasiliy Minkov, Anna Belozerova, Alexander Bagaev, Viktor Svekolkin, Aleksandr Sarachakov
• 4165 · PDF 利用可切割荧光团和自动化多重循环推进高重数空间蛋白质组学 Advancing high-plex spatial proteomics using cleavable fluorophores and automated multiplex cycling Alyssa Hernandez, Danielle Fails
• 4166 · PDF 有胰腺癌病史的肺肿瘤的分子诊断：基于空间分析的鉴别标志物及对侵袭性黏液腺癌的功能性见解 Molecular diagnosis of lung tumors with a history of pancreatic cancer: Spatial profiling-based differential markers and functional insights into invasive mucinous adenocarcinoma Ryunosuke Fujii, Kousei Ishimura, Kazuhiko Shien, Shuta Tomida, Kenta Manabe, Shunsuke Mori, Kazuya Hisamatsu, Ryota Fujiwara, Atsushi Matsuoka, Ryo Yoshichika, Kazuhiro Okada, Yuma Fukumoto, Haruchika Yamamoto, Kumi Nakajima, Shin Tanaka, Hidejiro Torigoe, Ken Suzawa, Kentaroh Miyoshi, Mikio Okazaki, Seiichiro Sugimoto, Hirofumi Inoue, Kosei Takagi, Hidetaka Yamamoto, Shinichi Toyooka
• 4167 · PDF 从H&E染色虚拟推断胶原结构以刻画结直肠癌基质纤维形态与组织构架 Virtual inference of collagen architecture from H&E to characterize stromal fiber morphology and organization in colorectal cancer Harsimran Kaur, Minh-Khang Le, Arkadiusz Gertych, Maha Guindi, Jun Gong, Alexandra Gangi, Kyle Coleman, Jane C. Figueiredo, Xiaoying Liu, Louis J. Vaickus, Keluo Yao, Ken S. Lau, Joshua Jay Levy
• 4168 · PDF 一体化数字病理学比较并对照肾细胞癌组织与配对的患者来源类肿瘤（tumoroids）的肿瘤微环境 All-in-one digital pathology compares and contrasts the tumor microenvironment of renal cell carcinoma tissue with paired, patient derived tumoroids Levi Maston, Amber L. Ortiz
• 4169 · PDF 解读地图：一份对人类肿瘤图谱网络（Human Tumor Atlas Network）资源的邀约 Reading the map: An invitation to the resources of the Human Tumor Atlas Network Adam Taylor, Ashley Clayton, Aditi Gopalan, Milen Nikolov, Thomas Yu, David Gibbs, Yamina Katariya, Dar'ya Pozhidayeva, Ino de Bruijn, Seluck Onur Sumer, Kristen Anton, Jennifer Altreuter, Alex Lash, Ethan Cerami, Nikolaus Schultz, Vesteinn Thorsson
• 4170 · PDF 一种AI驱动的多模态工作流程以增强晚期临床试验结局预测 An AI-driven multimodal workflow for enhancing late-phase clinical trial outcome prediction Inbal Gazy, Assaf Avinoam, Reva Basho, Jonathan Zalach

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