摘要翻译：
远处转移是结直肠癌(CRC)死亡的主要原因。如果在疾病早期准确地分层，有远处转移风险的患者可以从适当的辅助治疗和后续治疗中受益。越来越多的研究认识到肿瘤微环境中不同细胞成分在CRC肿瘤发生发展中的作用。在这篇论文中，我们证明了一种新的对来自结直肠癌组织幻灯片的数字化图像进行自动分析的方法可以在微环境细节的基础上提供对远处无转移生存期(DMFS，首次观察到转移前的时间）的重要估计。具体地说，我们确定在其他细胞类型的附近发现了哪些细胞类型，以及数量，而不是只集中在癌细胞上。然后，我们利用组织成分的统计测量来提取新的组织表型特征。这些特征可以支持各种类型辅助治疗是否可取的临床决策。
---
英文标题：
《Novel digital tissue phenotypic signatures of distant metastasis in
  colorectal cancer》
---
作者：
Korsuk Sirinukunwattana, David Snead, David Epstein, Zia Aftab, Imaad
  Mujeeb, Yee Wah Tsang, Ian Cree, Nasir Rajpoot
---
最新提交年份：
2018
---
分类信息：

一级分类：Computer Science        计算机科学
二级分类：Computer Vision and Pattern Recognition        计算机视觉与模式识别
分类描述：Covers image processing, computer vision, pattern recognition, and scene understanding. Roughly includes material in ACM Subject Classes I.2.10, I.4, and I.5.
涵盖图像处理、计算机视觉、模式识别和场景理解。大致包括ACM课程I.2.10、I.4和I.5中的材料。
--
一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
--
一级分类：Quantitative Biology        数量生物学
二级分类：Tissues and Organs        组织器官
分类描述：Blood flow in vessels, biomechanics of bones, electrical waves, endocrine system, tumor growth
血管内血流，骨骼生物力学，电波，内分泌系统，肿瘤生长
--

---
英文摘要：
  Distant metastasis is the major cause of death in colorectal cancer (CRC). Patients at high risk of developing distant metastasis could benefit from appropriate adjuvant and follow-up treatments if stratified accurately at an early stage of the disease. Studies have increasingly recognized the role of diverse cellular components within the tumor microenvironment in the development and progression of CRC tumors. In this paper, we show that a new method of automated analysis of digitized images from colorectal cancer tissue slides can provide important estimates of distant metastasis-free survival (DMFS, the time before metastasis is first observed) on the basis of details of the microenvironment. Specifically, we determine what cell types are found in the vicinity of other cell types, and in what numbers, rather than concentrating exclusively on the cancerous cells. We then extract novel tissue phenotypic signatures using statistical measurements about tissue composition. Such signatures can underpin clinical decisions about the advisability of various types of adjuvant therapy.
---
PDF链接：
https://arxiv.org/pdf/1801.07451