基于现实数据的数字病理学的全幻灯片基础模型
Hanwen Xu1,2, Naoto Usuyama1, Jaspreet Bagga1
1Microsoft Research, Redmond, WA, USA.
Nature
|May 22, 2024
概括
一个全新的全幻灯片病理学基础模型, 克服了数字病理学的计算挑战. 通过分析整个千兆像素的幻灯片, 而不仅仅是样本,
科学领域:
- 计算病理学
- 医学中的人工智能
- 数字病理图像分析
背景情况:
- 数字病理学千兆像素幻灯片带来了重要的计算挑战.
- 之前的模型经常使用子样本, 错过了关键的整个幻灯片背景.
- 需要能够分析整个数字病理幻灯片的模型.
研究的目的:
- 一个全新的全幻灯片病理基础模型.
- 为了能够对千兆像素病理幻灯片进行全面分析.
- 提升人工智能在数字病理学方面的能力.
主要方法:
- 在171,189个整张幻灯片中的13亿张图片上预先训练Prov-GigaPath.
- 开发GigaPath,这是一个视觉转换器架构,来自LongNet,用于千兆像素幻灯片分析.
- 使用普罗维登斯和TCGA数据创建了一个基准,包括9个癌症亚型和17个病理任务.
主要成果:
- 在26个基准任务中,Prov-GigaPath在25个方面取得了最先进的表现.
- 在18个任务中,与现有方法相比,发现了显著的改进.
- 通过结合病理学报告,证明了视觉语言预训的潜力.
结论:
- 在数字病理学任务中表现出色.
- 这项研究强调了大规模现实数据和整片分析的重要性.
- 在数字病理学中为人工智能设定了新的标准.
相关概念视频
Mechanistic Models: Overview of Compartment Models
587
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
587
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
333
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
333
Pharmacodynamic Models: Overview
159
Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
159


