基于创面图片的形态学与相关诊断标准化数据集

通过多信息采集终端，收集全国各创面修复中心、烧伤中心、基层单位收治的大样本慢性创面病例，建立基于创面图片的形态学与相关诊断标准化数据集。可用于分析比较不同诊疗方法，医护运行模式对创面修复类疾病诊疗有效性和相关性分析，建立创面修复学科知识图谱；对大量不同病情创面进行数据整理，统计分析，为构建创面类型识别判断系统提供数据支撑。

Using multi-information collection terminals, this work collected large-sample chronic wound cases from various national wound repair centers, burn centers and primary care institutions, and established a standardized dataset for morphological analysis and related diagnosis based on wound images. This dataset can be used to analyze and compare the effectiveness and correlation of different diagnostic and therapeutic methods and medical operation modes for wound repair-related diseases, as well as to build a disciplinary knowledge graph for wound repair. Additionally, by organizing and statistically analyzing data from a large number of wounds with varying clinical conditions, it provides data support for the development of wound type recognition and judgment systems.

搜集汇总

背景与挑战

背景概述

该数据集是一个基于创面图片的形态学与相关诊断标准化数据集，通过收集全国多个医疗中心的大样本慢性创面病例构建而成，包含创面图片、个人史、创面形状、位置、面积等详细字段。它旨在支持创面修复疾病的诊疗方法分析、学科知识图谱建立以及创面类型识别系统的开发，适用于医药企业、科研院所和AI公司的研发工作。数据集经过严格清洗、标注和脱敏处理，覆盖9大类创面，具有高质量和标准化特点。