本数据集名为SARS-CoV-2 CT-Scan Dataset，由圣保罗大学创建，包含100张医学图像，其中50张为阳性病例，50张为阴性病例。数据集通过将彩色图像转换为灰度图像，并应用频率直方图和灰度共生矩阵（GLCM）进行特征提取。该数据集主要用于通过复杂网络分析来识别和区分COVID-19病例，旨在通过图像处理技术提高病毒检测的准确性和效率。

arXiv2020-09-25 更新570

BRCA-M2C

医学图像分析

细胞分类

displayName: BRCA-M2C license: - BSD 3-Clause paperUrl: https://arxiv.org/pdf/2110.04886v2.pdf publishDate: "2021" publishUrl: https://github.com/TopoXLab/Dataset-BRCA-M2C publisher: - Stony Brook Uni

魔搭社区2024-09-17 更新180

TCGA binary masks of annotations

癌症基因组数据

医学图像分析

TCGA binary masks of manual annotations from pathologists.

DataONE2018-06-01 更新70

Elsafty_RBCs_for_Classification dataset

医学图像分析

细胞分类

The Elsafty_RBCs_for_Classification dataset is systematically structured into three primary folders: "Cropped images”, "Masks”, and "Segmented images”. Within each of these primary folders, there are

DataCite Commons2025-06-01 更新320

Automatic Gauze Tracking in Laparoscopic Surgery using Image Texture Analysis

手术视觉辅助

医学图像分析

This dataset contain the code, images and video results of the analysed algorithms: LBP|VAR, CLBP and the convolutional neural network ResNet50.

NIAID Data Ecosystem80