消化性溃疡中人工智能应用现状与展望表格v1
包含消化性溃疡中人工智能应用现状与展望的表格数据,用于研究参考。

基本信息
资源简介
消化性溃疡中人工智能应用现状与展望表格v1
【一句话概览】
本数据集是 figshare 公开的文本数据集,收录 1 个文件、合计 23.35 KB,主题涵盖 peptic ulcer、artificial intelligence、gastric ulcer、complications、convolutional neural network,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《Table_1_v1_Application Status and Prospects of Artificial Intelligence in Peptic Ulcers.docx》。配套论文《Artificial intelligence in cancer research, diagnosis and therapy》发表于 Nature Reviews Cancer(2021),DOI:10.1038/s41568-021-00399-1。源站首次发布:2022-06-16。
【数据内容】
源站原始描述:Peptic ulcer (PU) is a common and frequently occurring disease. Although PU seriously threatens the lives and health of global residents, the applications of artificial intelligence (AI) have strongly promoted diversification and modernization in the diagnosis and treatment of PU. This minireview elaborates on the research progress of AI in the field of PU, from PU’s pathogenic factor Helicobacter pylori (Hp) infection, diagnosis and differential diagnosis, to its management and complications (b…
【数据结构与技术规格】
文件数 1 个,合计 23.35 KB。Table_1_v1_Application Status and Prospects of Artificial Intelligence in Peptic Ulcers.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,23.35 KB。数据集 DOI:10.3389/fsurg.2022.894775.s002。
【主题与分类】
源站学科分类:Surgery、Oral and Maxillofacial Surgery、Medical Biochemistry: Proteins and Peptides (incl. Medical Proteomics)。主题标签:peptic ulcer、artificial intelligence、gastric ulcer、complications、convolutional neural network。
【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://frontiersin.figshare.com/articles/dataset/Table_1_v1_Application_Status_and_Prospects_of_Artificial_Intelligence_in_Peptic_Ulcers_docx/20078315
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Zhao, Peng-yue; Han, Ke; Yao, Ren-qi; Ren, Chao; Du, Xiao-hui (2022). Table_1_v1_Application Status and Prospects of Artificial Intelligence in Peptic Ulcers.docx. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-06-13,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:Table_1_v1_Application Status and Prospects of Artificial Intelligence in Peptic Ulcers.docx
- DOI:10.3389/fsurg.2022.894775.s002
- 发布日期:2022-06-16
- 文件数:1 个
- 文件总体积:23.35 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Table_1_v1_Application_Status_and_Prospects_of_Artificial_Intelligence_in_Peptic_Ulcers_docx/20078315
命令行下载
curl -L -o "Table_1_v1_Application Status and Prospects of Artificial Intelligence in Peptic Ulcers.docx" "https://ndownloader.figshare.com/files/35913680"
文件清单
Table_1_v1_Application Status and Prospects of Artificial Intelligence in Peptic Ulcers.docx(23.35 KB)
文件总体积 23.35 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
Peptic ulcer (PU) is a common and frequently occurring disease. Although PU seriously threatens the lives and health of global residents, the applications of artificial intelligence (AI) have strongly promoted diversification and modernization in the diagnosis and treatment of PU. This minireview elaborates on the research progress of AI in the field of PU, from PU’s pathogenic factor Helicobacter pylori (Hp) infection, diagnosis and differential diagnosis, to its management and complications (bleeding, obstruction, perforation and canceration). Finally, the challenges and prospects of AI application in PU are prospected and expounded. With the in-depth understanding of modern medical technology, AI remains a promising option in the management of PU patients and plays a more indispensable role. How to realize the robustness, versatility and diversity of multifunctional AI systems in PU and conduct multicenter prospective clinical research as soon as possible are the top priorities in the future.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fsurg.2022.894775.s002(source: https://frontiersin.figshare.com/articles/dataset/Table_1_v1_Application_Status_and_Prospects_of_Artificial_Intelligence_in_Peptic_Ulcers_docx/20078315)。
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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