Openwater 临床前肿瘤溶解数据
包含体外和体内超声参数实验数据，用于研究肿瘤溶解治疗，优化超声参数以破坏癌细胞同时保护健康组织。
基本信息
资源简介
本数据集包含体外和体内实验数据，用于研究不同超声参数对癌细胞和正常组织的影响，以探索超声肿瘤溶解治疗的最佳参数，适用于实验室环境中的参数优化研究。
下载信息
注册下载
Tips: 该数据集需要在对应的数据源网站注册通过后，才能进行数据下载，注册有对应要求，或者需要收费。
暂未开放公开下载
Tips: 该数据集属于公开下载，应该可以免费公开下载。
免登录有偿下载
Tips: 该数据集 Qianfanghub 可以协助提供有偿下载服务，注意，服务不针对数据相关产权，只是技术服务费。
提供高速下载与技术交付服务（收技术服务费，非数据销售）
暂未开放千方医数集，医疗数据集部分，是为社区服务的公开医疗数据集搜索引擎，并不存储或者下载原始的任何数据。 如果您有其他医疗数据需求，可以和客服联系，或者下工单。我们有强大的三甲医疗机构帮助您提供个性化的医疗数据定制、采集、标注服务。
使用方式
数据集获取
git clone https://github.com/OpenwaterHealth/opw_oncolysis_data.git
curl -L -o repo.zip https://github.com/OpenwaterHealth/opw_oncolysis_data/archive/refs/heads/main.zip
unzip repo.zip
源站 README 摘录（使用方式）
Openwater Preclinical Oncolysis Data
This repository contains in vitro and in vivo data from experiments with the system. The Openwater Preclinical Oncolysis Prototype is designed to help researchers investigate the effect of different ultrasound parameters on a variety of in vitro and preclinical in vivo targets. Certain acoustic parameters may be well suited for damaging cancer cells while sparing surrounding healthy tissue, and this system is designed to systematically explore such effects in a laboratory setting.
For additional details on the preclinical oncolysis system and its applications, refer to the wiki.
An overview of the experiments and results summarizes the key findings, while the raw data (where available) are also provided.
Datasets
The datasets in this repository include:
- In Vitro cell constructs & spheroid viabilities
- In Vitro cell-laden hydrogel dome cell viabilities
- In Vivo mouse flank caliper measurements
- In Vivo mouse flank sample histology
License
This project is licensed under the GNU Affero General Public License v3.0. See LICENSE for details.
Contributing
See Contributor Guidelines for details. Report an Issue
Investigational Use Only
CAUTION - Investigational device. Limited by Federal (or United States) law to investigational use. Systems described here have not been evaluated by the FDA and are not designed for the treatment or diagnosis of any disease.
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。
精度瓶颈？数据缺失？
当前公开数据无法满足您的算法精度？千方提供针对 癌症（总论） 的高质量、多模态真实临床数据定制解决方案。
