肝细胞癌射频消融设备开发数据集
开发符合巴西标准的肝细胞癌外科治疗射频消融设备的数据集,包含设备设计、功能评估和测试结果。

基本信息
资源简介
肝细胞癌射频消融设备开发数据集
【一句话概览】
本数据集是 figshare 公开的文本数据集,收录 8 个文件、合计 1.16 MB,主题涵盖 Accuracy、Monotonicity、Crest factor、Hepatocellular carcinoma,可用于医学自然语言处理(实体识别、信息抽取等),CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Development of radiofrequency ablation device for surgical hepatocellular carcinoma treatment in agreement with Brazilian standards》。配套论文《Development of radiofrequency ablation device for surgical hepatocellular carcinoma treatment in agreement with Brazilian standards》发表于 Research on Biomedical Engineering(2018),DOI:10.1590/2446-4740.07517。源站首次发布:2018-12-26。
【数据内容】
源站原始描述:Abstract Introduction Many studies have been carried out on the main causes of hepatocellular carcinoma (HCC) to identify suitable diagnosis methods and treatments to combat the disease. However, high equipment costs and the lack of hepatic-ablation technologies manufactured in Brazil encourage the design and implementation of a solution based on normative principles. Methods The analysis and description of equipment features were the first steps in defining the design requirements and constrain…
中文译文(机器翻译,仅供快速理解,请以原文为准):摘要 引言 许多研究已针对肝细胞癌(HCC)的主要病因开展,以识别合适的诊断方法和治疗手段来对抗该疾病。然而,高昂的设备成本以及巴西缺乏本土制造的肝消融技术,促使人们设计并实施一种基于规范性原则的解决方案。 方法 分析和描述设备特性是确定设计要求和约束条件的第一步。依据 NBR-IEC 60601-2-2 规定的三项试验,对设备功能进行了评估。 结果 对该设备进行的输出控制调节准确度试验、输出控制调节单调性试验,以及使用波峰因数(CF)评估信号质量的试验显示,其阈值优于上述标准。 结论 前沿研究为设备构建做出了贡献。构建过程通过试验进行了验证,以确保在使用成本可接受的原材料时设备功能正常。测试结果表明,该设备相对于 NBR-IEC 60601-2-2 标准提出的试验具有优越性。然而,要将该原型转化为商业产品,还需要进行其他分析。
【数据结构与技术规格】
文件数 8 个,合计 1.16 MB。数据集 DOI:10.6084/m9.figshare.7517675.v1。
【主题与分类】
源站学科分类:Biological Engineering。主题标签:Accuracy、Monotonicity、Crest factor、Hepatocellular carcinoma。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://scielo.figshare.com/articles/dataset/Development_of_radiofrequency_ablation_device_for_surgical_hepatocellular_carcinoma_treatment_in_agreement_with_Brazilian_standards/7517675
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Cavalcante, Gilvandson Costa; Lima, Flávio Ferreira; Venturin, Murilo; Jacobi, Ricardo Pezzuol; Rosa, Suélia de Siqueira Rodrigues Fleury (2018). Development of radiofrequency ablation device for surgical hepatocellular carcinoma treatment in agreement with Brazilian standards. SciELO journals. Data…
【使用注意】
· 源站最后修改于 2023-06-02,引用时请注意版本时效。
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。
免登录有偿下载
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)
- 源站标题:Development of radiofrequency ablation device for surgical hepatocellular carcinoma treatment in agreement with Brazilian standards
- DOI:10.6084/m9.figshare.7517675.v1
- 发布日期:2018-12-26
- 文件数:8 个
- 文件总体积:1.16 MB
- 源站页面:https://scielo.figshare.com/articles/dataset/Development_of_radiofrequency_ablation_device_for_surgical_hepatocellular_carcinoma_treatment_in_agreement_with_Brazilian_standards/7517675
命令行下载
curl -L -o "2446-4740-reng-2446-474007517-gf01.jpg" "https://ndownloader.figshare.com/files/13974185"
curl -L -o "2446-4740-reng-2446-474007517-gf02.jpg" "https://ndownloader.figshare.com/files/13974191"
curl -L -o "2446-4740-reng-2446-474007517-gf03.jpg" "https://ndownloader.figshare.com/files/13974197"
curl -L -o "2446-4740-reng-2446-474007517-gf04.jpg" "https://ndownloader.figshare.com/files/13974203"
curl -L -o "2446-4740-reng-2446-474007517-gf05.jpg" "https://ndownloader.figshare.com/files/13974209"
curl -L -o "2446-4740-reng-2446-474007517-gf06.jpg" "https://ndownloader.figshare.com/files/13974218"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/13974224"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/13974227"
文件清单
2446-4740-reng-2446-474007517-gf01.jpg(94.69 KB)2446-4740-reng-2446-474007517-gf02.jpg(697.89 KB)2446-4740-reng-2446-474007517-gf03.jpg(73.34 KB)2446-4740-reng-2446-474007517-gf04.jpg(75.44 KB)2446-4740-reng-2446-474007517-gf05.jpg(92.39 KB)2446-4740-reng-2446-474007517-gf06.jpg(111.26 KB)Table_1.xls(5.63 KB)Table_2.xls(5.63 KB)
文件总体积 1.16 MB(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
Abstract Introduction Many studies have been carried out on the main causes of hepatocellular carcinoma (HCC) to identify suitable diagnosis methods and treatments to combat the disease. However, high equipment costs and the lack of hepatic-ablation technologies manufactured in Brazil encourage the design and implementation of a solution based on normative principles. Methods The analysis and description of equipment features were the first steps in defining the design requirements and constraints. Equipment functionalities were evaluated with three assays set by NBR-IEC 60601-2-2. Results The assays of output control adjustment accuracy, output control adjustment monotonicity, and signal quality evaluation using the crest factor (CF) for the equipment showed thresholds superior to the aforementioned standard. Conclusion State-of-the-art studies have contributed the equipment construction. The construction process was validated by assays to ensure the equipment functionality with raw materials at acceptable costs. The test results showed the superiority of the equipment in relation to the assays proposed by the standard NBR-IEC 60601-2-2. However, to convert the prototype into a commercial product, other analyses are necessary.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.7517675.v1(source: https://scielo.figshare.com/articles/dataset/Development_of_radiofrequency_ablation_device_for_surgical_hepatocellular_carcinoma_treatment_in_agreement_with_Brazilian_standards/7517675)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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