pathology

"一言以蔽之，这个任务就是从显微镜下观察到的结肠组织横截面中，对所有细胞核进行“描绘轮廓”、“分为6类”并“计算数量”。"

"COSAS的本质不仅仅是简单地划分区域，而是探究它能否在与训练时不同的器官和不同扫描仪的图像上也能正确运行。"

"简而言之，这是一个读取巨大病理切片图像并自动生成犹如病理学家所写报告的任务。这就好比要求你从东京23区的航拍照片中写出一份“这座城市特征报告”；因为不可能一眼看全貌，所以必须将其划分为小块进行处理，最后再进行汇总。"

"人工智能得出的风险评分在多变量Cox比例风险分析中被验证为最有效的独立预后因素，超越了术前PSA和Gleason评分等传统临床指标。"

"在本文中，我们介绍了 CytoSyn，这是一种最先进的基础潜在扩散模型，能够引导生成高度逼真和多样化的组织病理学 H&E 染色图像..."

"该模型在来自四种训练癌症的验证数据中实现了 0.97 的瓦片级 ROC-AUC，在独立的胰腺导管腺癌队列中实现了 0.71。"

"我们的方法成功地减轻了计算病理学基础模型的稳健性问题，而无需重新训练基础模型本身，从而能够开发出适用于日常临床实践中真实世界数据的稳健计算病理学模型。"

"华为云发布业界首个智慧病理云边端解决方案：通过云边端协同，将瑞金医院与华为联合研发的 RuiPath 病理 LLM 能力，以云或智慧病理一体机为载体下沉至基层。"

"A DANN trained on labeled breast and colon data and adapted to unlabeled lung data reaches 95.56% accuracy."

"The article's context, from ArXiv, suggests it's a research paper."

"TICON is a slide-level tile contextualizer."

"The research focuses on generating pathology images."

"The article's context revolves around WSD-MIL, a method for Whole Slide Image Classification."

"The paper focuses on Multiple Instance Learning (MIL) in the context of computational pathology."

"The article's context indicates the research is published on ArXiv."

"The article is sourced from ArXiv, suggesting it's a pre-print of a research paper."

"The article is sourced from ArXiv."

"The study focuses on using HE-stained Whole Slide Images."

"EXAONE Path 2.5 is a pathology foundation model."

"DA-SSL leverages self-supervised learning to adapt foundational models."

"A Semantically Enhanced Generative Foundation Model Improves Pathological Image Synthesis"

"The research focuses on weakly supervised learning for histopathology image segmentation."

"MPath generates pathology reports from Whole Slide Images."

"The article's focus is on spatial analysis within AI-segmented histopathology images."

"PathReasoning is a multimodal reasoning agent for query-based ROI navigation on whole-slide images."

"NOVA is an agentic framework for automated histopathology analysis and discovery."

"AI helps classify lung cancer at the pathologist level."

"Deep learning is used to help pathologists find tumors."