使用智能设备提高伤口面积测量精度与准确性的方法:高级应用Planimator数据集

该数据集包含40个伤口形状的面积测量数据,用于比较Planimator应用与多种方法的精度和准确性。

Figshare
2018-03-06 更新
浏览 15
表格RDREwound surface areaVisitrak31.72 cm 2smartphone cameraD-SLR camerascamera tilt angle40 wound shapeswound area measurementprecisionSD
Ways to increase precision and accuracy of wound area measurement using smart devices: Advanced app Planimator

基本信息

模态
表格
大小
0.000364383 GB
许可
CC BY 4.0
创建/更新时间
2018-03-06
版本
v1

资源简介

使用智能设备提高伤口面积测量精度与准确性的方法:高级应用Planimator数据集

【数据集背景】

本数据集源站标题为《Ways to increase precision and accuracy of wound area measurement using smart devices: Advanced app Planimator》。配套论文《Ways to increase precision and accuracy of wound area measurement using smart devices: Advanced app Planimator》发表于 PLOS ONE(2018),DOI:10.1371/journal.pone.0192485。源站首次发布:2018-03-05。

【数据内容】

源站原始描述:Introduction Wound surface area measurement is important as therapeutic decisions may depend on the change of wound surface area over time. Digital planimetry is a popular technique in wound area measurement. It is accurate and repeatable when calibration is performed with 2 rulers placed at opposite sides of a wound. The aim of the current study was improving accuracy and precision of wound area measurement using capabilities of smart devices. Methods The correction of area measurement based on…

【数据结构与技术规格】

文件数 2 个,合计 364.38 KB。S1 Table.pdf:application/pdf,251.65 KB。S2 Table.pdf:application/pdf,112.73 KB。数据集 DOI:10.1371/journal.pone.0192485。

【主题与分类】

源站学科分类:Biochemistry、Space Science、Cell Biology、Physiology、Biotechnology、Biological Sciences not elsewhere classified。主题标签:RD、RE、wound surface area、Visitrak、31.72 cm 2、Advanced app Planimator Introduction Wound surface area measurement、smartphone camera、D-SLR cameras、camera tilt angle、40 wound shapes。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Ways_to_increase_precision_and_accuracy_of_wound_area_measurement_using_smart_devices_Advanced_app_Planimator/5948857

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Foltynski, Piotr (2018). Ways to increase precision and accuracy of wound area measurement using smart devices: Advanced app Planimator. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-02,引用时请注意版本时效。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "S1 Table.pdf" "https://ndownloader.figshare.com/files/10654876"
curl -L -o "S2 Table.pdf" "https://ndownloader.figshare.com/files/10654885"

文件清单

  • S1 Table.pdf(251.65 KB)
  • S2 Table.pdf(112.73 KB)

文件总体积 364.38 KB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Introduction
Wound surface area measurement is important as therapeutic decisions may depend on the change of wound surface area over time. Digital planimetry is a popular technique in wound area measurement. It is accurate and repeatable when calibration is performed with 2 rulers placed at opposite sides of a wound. The aim of the current study was improving accuracy and precision of wound area measurement using capabilities of smart devices.
Methods
The correction of area measurement based on calculated camera tilt angle and the calculation of calibration coefficient of linear dimensions as weighted average were proposed. These and other improvements were applied in the Planimator app for Android, which was then used in the study. Accuracy and precision of the Planimator app were compared to the Visitrak device, the SilhouetteMobile device, the AreaMe software, and to the digital planimetry based on 2-ruler calibration with pictures taken by the smartphone, compact, and D-SLR cameras. Areas of 40 wound shapes of area ranged from 0.14 to 31.72 cm2 were measured with each device. Medians of relative errors (REs) were compared in the accuracy tests and standard deviations (SDs) of relative differences (RDs) were compared in the tests of precision.
Results
The median of REs for the Planimator app was not significantly different from the medians of REs for the digital planimetry based on pictures from the compact or D-SLR cameras, but it was significantly lower than the medians of REs for the Visitrak and SilhouetteMobile devices, the AreaMe software and the digital planimetry based on pictures from a smartphone camera. The SD of RDs for the Planimator app was not significantly different from the SDs of RDs for the digital planimetry based on pictures from the compact or D-SLR cameras, but it was significantly lower than the SDs of RDs for the Visitrak and SilhouetteMobile devices, the AreaMe software and the digital planimetry based on pictures from a smartphone camera. The Planimator app installed at a smartphone revealed to be 2-fold more accurate and 1.5-fold more precise than the measurements with using ImageJ software based on pictures taken with the same sm

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0192485(source: https://plos.figshare.com/articles/dataset/Ways_to_increase_precision_and_accuracy_of_wound_area_measurement_using_smart_devices_Advanced_app_Planimator/5948857)。

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