数据与知识协同驱动用于多尺度组织病理切片的癌症亚型分类
Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides
AI总结：
针对癌症亚型诊断，本文提出D&K模型，结合bagging数据驱动模块与基于格式塔原则的3D知识空间度量，在公开和内部数据集上优于现有方法。
摘要：
人工智能赋能的组织病理数据分析已成为病理医生的重要助手。然而，现有模型与病理医生相比仍缺乏表征和推理能力，尤其是在癌症亚型诊断中，这使其在临床实践中缺乏说服力。例如，病理医生通常会从全局到局部观察一张切片的病变，然后依据自身知识和经验作出诊断。本文提出一种数据与知识协同驱动（Data and Knowledge Co-driving，D&K）模型，以像病理医生一样复现组织病理切片上的癌症亚型分类过程。具体而言，在数据驱动模块中，利用集成学习中的 bagging 机制整合由嵌入表征单元提取的来自不同包的组织学特征。此外，基于心理学中的格式塔原则构建知识驱动模块，以建立三维（3D）专家知识空间，并将组织学特征映射到该空间中进行度量。随后，可根据它们之间的欧氏距离作出诊断。在公开数据集和内部数据集上的大量实验结果表明，与用于诊断组织病理亚型的最先进方法相比，D&K 模型具有高性能和可信结果。代码：https://github.com/Dennis-YB/Data-and-Knowledge-Co-driving-for-Cancer-Subtypes-Classification
英文摘要：
Artificial intelligence-enabled histopathological data analysis has become a valuable assistant to the pathologist. However, existing models lack representation and inference abilities compared with those of pathologists, especially in cancer subtype diagnosis, which is unconvincing in clinical practice. For instance, pathologists typically observe the lesions of a slide from global to local, and then can give a diagnosis based on their knowledge and experience. In this paper, we propose a Data and Knowledge Co-driving (D&K) model to replicate the process of cancer subtype classification on a histopathological slide like a pathologist. Specifically, in the data-driven module, the bagging mechanism in ensemble learning is leveraged to integrate the histological features from various bags extracted by the embedding representation unit. Furthermore, a knowledge-driven module is established based on the Gestalt principle in psychology to build the three-dimensional (3D) expert knowledge space and map histological features into this space for metric. Then, the diagnosis can be made according to the Euclidean distance between them. Extensive experimental results on both public and in-house datasets demonstrate that the D&K model has a high performance and credible results compared with the state-of-the-art methods for diagnosing histopathological subtypes. Code: https://github.com/Dennis-YB/Data-and-Knowledge-Co-driving-for-Cancer-Subtypes-Classification
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
