官方服务：
资源简介：
binary masks depicting blood vessels. 0: background 1: bloodvessel
应用场景：
创建时间：
2022-12-20
相关数据集
体细胞病理图像分析大模型数据集
该数据集涵盖了大量高质量的病理切片图像及其关联的临床病理报告。旨在支持肿瘤检测、病变分析、早期疾病筛查以及人工智能模型的开发与验证。具体包括以下数据结构：样本编号：每个样本的唯一标识。采集日期：图像的采集时间。采集部位：病理图像对应的人体部位。图像尺寸、分辨率：图像的像素大小和扫描精度。图像通道：图像的颜色通道。染色方法：病理切片染色方法。放大倍数：图像采集的显微镜放大倍数。图像分析工具：分析图像
河北数据知识产权登记系统270
Breast density pattern characterization by histogram features and texture descriptors
Abstract Introduction Breast cancer is the first leading cause of death for women in Brazil as well as in most countries in the world. Due to the relation between the breast density and the risk of br
DataCite Commons2021-03-27 更新70
Prediction performance of the Random Forest image classification model on the various image input types.
The highlighted accuracies are the best per classification scheme. Evaluation was calculated on the ImageCLEF 2009 Medical Annotation Task Test Set.
Figshare2018-11-12 更新40
Heatmap results of the Asan test dataset
1) We created heatmap figures by using a python Grad-CAM. ( https://github.com/gcucurull/CAM-Python ) 2)/heatmap_fig2The heatmap result of the case of malignant melanoma and basal cell carcinoma. (Fig
NIAID Data Ecosystem80
Data_Sheet_2_Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue Sarcoma.PDF
Background: Multi-parametric MRI provides non-invasive methods for response assessment of soft-tissue sarcoma (STS) from non-surgical treatments. However, evaluation of MRI parameters over the whole t
NIAID Data Ecosystem70
