Digital Pathology 2

• 1438 · PDF 生成式AI改善从组织学图像预测乳腺癌基因组亚型 Generative AI improves breast cancer genomic subtype prediction from histology images Brennan Geti Simon, Clemens L. Weiss, Darren Chan, Lise Mangiante, Nicholas H. Smith, Zhicheng Ma, Cansu Karakas, Christina Curtis
• 1439 1439 来自免疫组化的基础模型衍生特征与梅克尔细胞癌的复发和分期相关 Foundation model-derived features from immunohistochemistry correlate with recurrence and stage in Merkel cell carcinoma Roshan Lodha, Kelsey Ouyang, Claire Reynolds, Allison Vidimos, Bryan Carroll
• 1440 · PDF FLEXMIL：用于临床与转化研究的灵活多模态多示例学习框架 FLEXMIL: A flexible multimodal multiple instance learning framework for clinical and translational research Meijian Guan, Qifeng Zhou, Sneh Lata, David Soong, Mirna Lechpammer, Craig Thalhauser, Han Si
• 1441 · PDF 整合全玻片图像与临床特征以实现更优的前列腺癌风险分层 Whole-slide image and clinical feature integration for superior prostate cancer risk stratification Justin Johnson, Kingsley Ebare
• 1442 · PDF 基于空间转录组学的从组织学玻片估计三阴性乳腺癌肿瘤纯度 Spatial transcriptomics informed tumor purity estimation from histology slides for triple negative breast cancer Minh-Khang Le, Vivek Pujara, I-Chuang Liao, Yuan Yuan, Joseph Lownik, Graeme Murray, Jin Sun Bitar, Luxi Chen, Parisa Najafzadeh, Keeyon Dabirian, David Lin, Fred W Kolling IV, Parth S. Shah, Jonathan Marotti, Xiaoying Liu, Louis J. Vaickus, Keluo Yao, Linda T. Vahdat, Zarif L. Azher, Joshua Levy
• 1443 · PDF AI辅助的定量组织病理学识别可区分OSCC与正常口腔上皮的细胞核形态计量学特征 AI-assisted quantitative tissue pathology identifies nuclear morphometric features distinguishing OSCC from normal oral epithelium Kelly Y. P. Liu, Paul Gallagher, Calum Macaulay, Catherine FY Poh
• 1444 · PDF 利用深度学习对真实世界H&E图像进行胃癌Lauren亚型分类 Lauren subtype classification in gastric cancer using deep learning on real-world H&E images Akul Singhania, Qiyuan Hu, Riccardo Miotto, Justin Guinney, Radia M. Johnson
• 1445 · PDF 利用弱监督transMIL-注意力框架从H&E全切片图像预测胃癌的TCGA分子亚型 Predicting TCGA molecular subtypes of gastric cancer from H&E whole-slide images using a weakly supervised transMIL-attention framework Yesul Jeong, Dewan M. Bappy, Sangjeong Ahn, Sung Hak Lee
• 1446 · PDF 准确的焦平面对于AI评估用于膀胱癌筛查和监测的非单层尿液细胞学标本至关重要 Accurate focal plane is crucial for AI assessment of non-monolayer urine cytology specimens for bladder cancer screening and surveillance Brody McNutt, Sam Harvey, Minh-Khang Le, I-Chuang Liao, Keluo Yao, Xiaoying Liu, Camille Ng, Ahmad Kohsar, Daniel Shou, Christopher VandenBussche, Louis J. Vaickus, Joshua Jay Levy
• 1447 · PDF DIANNE：组织学差异属性的无分割定位 DIANNE: Segmentation-free localization of histology differential attributes Sergii Domanskyi, Jill C. Rubinstein, Todd Sheridan, Adam Thiesen, Javad Noorbakhsh, Juliana Alcoforado Diniz, Ramalakshmi Ramasamy, Dylan S. Baker, Riley Sheldon, Qian Wu, George Kuchel, Paul Robson, Jeffrey H. Chuang
• 1448 · PDF 深度学习整合分子与组织病理学数据用于非小细胞肺癌的预后分层 Deep learning integration of molecular and histopathological data for prognostic stratification in non small cell lung cancer Sanddhya Jayabalan, Konstantinos Efthymiadis, Alexia Eliades, Kyriaki Papadopoulou, Abraham Pouliakis, Elena Fountzilas, Sofia Lampaki, Mattheos Bobos, Anna Goussia, Soultana Meditskou, Konstantinos Kyritsis, Helena Linardou, George Pentheroudakis, Dimitrios Bafaloukos, Dimitrios Pectasides, Epaminondas Samantas, Zunamys I. Carrero, George Fountzilas, Jakob N. Kather
• 1449 · PDF 来自3D全息断层成像的无标记虚拟HE可在厚层癌组织中实现可靠的细胞核和显微解剖学读出 Label free virtual HE from 3D holotomography enables reliable nuclear and microanatomical readouts in thick cancer tissues Juyeon Park, Su-Jin Shin, Geon Kim, Dongjoo Kim, Hyungjoo Cho, Daewoong Ahn, Ji Eun Heo, Jean R. Clemenceau, Dongmin Ryu, Isabel Barnfather, Minji Kim, Inyeop Jang, Ji-Youn Sung, Jeong Hwan Park, Sanggeun Oh, Hyun-Seok Min, Sumin Lee, Kwang Suk Lee, Nam Hoon Cho, Tae Hyun Hwang, YongKeun Park
• 1450 · PDF 3D全息断层成像实现厚层肾脏内科组织的虚拟多重染色用于全面肾脏病理学 3D holotomography-enabled virtual multiplexed staining of thick medical kidney tissue for comprehensive renal pathology Siwon Jeong, Juyeon Park, Hyun-Seok Min, Minsun Jung, YongKeun Park
• 1451 · PDF 可视化基因型-表型联系：利用基于RNA的扩散模型预测药物诱导的组织动态 Visualizing the genotype-phenotype link: Predicting drug-induced tissue dynamics with RNA-based diffusion models Vaagn A. Chopuryan, Arman Petrosyants, Gor A. Chobanyan, Dmitrii V. Ivchenkov, Eduardo Shugaev-Mendosa, Alexander Bagaev, Viktor Svekolkin, Aleksandr Sarachakov
• 1452 · PDF 用于数字化和标准化存档泌尿生殖系统癌症切片的高通量切片扫描流程 A high-throughput slide scanning pipeline for digitizing and standardizing legacy genitourinary cancer slides Faria Kabir, Mitra Shavakhi, Akash Parvatikar, Adrien Cesaire, Egypt Phillips, Rachel Trowbridge, Liliana Ascione, Pablo Barrios, Marc Eid, Jasmine Lee, Sabina Signoretti, Eliezer Van Allen, Atish Choudhury, Linh Hoang, Toni K. Choueiri, Jeremiah Wala
• 1453 · PDF 可解释组织形态学特征与分子标志物的关联：一项计算组织学人工智能（CHAI）生物标志物开发平台分析 Association of interpretable histomorphic features with molecular markers: A Computational Histology Artificial Intelligence (CHAI) biomarker development platform analysis Asit Tarsode, Haochen Zhang, Viswesh Krishna, Vrishab Krishna, Snehal S. Sonawane, Lesli A. Kiedrowski, Trevor J. Royce, Anirudh Joshi, Richard M. Goldberg, Eric A. Collisson
• 1454 · PDF 开发一个用于识别预测恶性黑色素瘤免疫治疗反应的基于图像的数字生物标志物的AI框架 Development of an AI framework for identifying image based digital biomarkers predictive of immunotherapy response in malignant melanoma Theresa Koehler, Eleftherios Mylonakis, Raluca Wroblewski, Khalid Daifalla, Jasna Kovacevic, Gianluca Corradini, Patrick Frey, Markus Tiemann, Katharina Tiemann, Tobias Lang
• 1455 · PDF 比较数字化与人工智能（AI）计算算法在量化临床样本中转移性乳腺癌（mBC）低表达/超低表达人表皮生长因子受体2（HER2）蛋白方面的应用 Comparison of digital and artificial intelligence (AI)-computational algorithms for quantifying low/ultralow human epidermal growth factor receptor 2 (HER2) protein expression in metastatic breast cancer (mBC) from clinical samples Savitri Krishnamurthy, Dhanrajan Tiruchinapalli, Clara lam, Simon M. Collin, Rosemary Taylor, Linlin Luo, Anupriya Dutta, Ehab A. Elgabry, Michele S. Woo, Grace E. Kwon, Robert Egger, Jennifer A. Hipp, Lauren Brunner, Jeppe S. Thagaard, Thomas W. Ramsing, Henrik Høeg, Wonkyung Jung, Heon Song, Chang Ho Ahn, Vladimir Kravtsov, Patrick Frey, Ralf Banisch, Stella Redpath
• 1456 · PDF Paletrra TM AI：通过信息最大化自训练对多重免疫荧光数据集进行自动化表型分析 Paletrra TM AI: Automated phenotyping of multiplex immunofluorescence datasets via information maximizing self-training Kevin Gallagher, Jiong Fei, Judy Kuo, Maryam Rohafza, Mitchell P. Levesque, Julia M. Martínez-Gómez, Marianne Thio, Erinn A. Parnell, Qingyan Au, Harry Nunns
• 1457 · PDF 从非小细胞肺癌的H&E全切片图像预测基因表达和分子通路活性 Prediction of gene expression and molecular pathway activity from H&E whole slide images in non-small cell lung cancer Mina Khoshdeli, Muhammad Sohaib, Mohammed Qutaish, Mahesh Bachu, Matthew Loya, Prianka Chohan, Omar Jabado, Craig Thalhauser, Mirna Lechpammer, David Soong
• 1458 · PDF H&E切片的深度学习为从不吸烟者的非黏液性肺腺癌提供了超越IASLC分级的预后价值 Deep learning of H&E slides adds prognostic value beyond IASLC grading in non-mucinous lung adenocarcinoma among never-smokers Monjoy Saha, Thi-Van-Trinh Tran, Huu Phuc Hoang, Praphulla MS Bhawsar, Robert Homer, Marina K. Baine, Lynette M. Sholl, Philippe Joubert, Charles Leduc, William D. Travis, Ruth M. Pfeiffer, Jonas S. Almeida, Soo-Ryum Yang, Maria Teresa Landi

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