首页/数据集/Tri-classification results of images from WBCs dataset.

Tri-classification results of images from WBCs dataset.

NIAID Data Ecosystem2026-03-13 收录

白细胞图像分析

影像诊断

数据链接：

https://figshare.com/articles/dataset/Tri-classification_results_of_images_from_WBCs_dataset_/19080508 数据链接链接失效反馈

官方服务：

资源简介：

Tri-classification results of images from WBCs dataset.

应用场景：

创建时间：

2022-01-27

多发性硬化症影像

影像诊断

Over the last 10 years, the number of approved disease modifying drugs acting on the focal inflammatory process in Multiple Sclerosis (MS) has increased from 3 to 10. This wide choice offers the oppor

NIAID Data Ecosystem30

Comparison of the three-class classification studies from previous CXR-based COVID-19 studies.

胸部X光COVID-19分类

影像诊断

Comparison of the three-class classification studies from previous CXR-based COVID-19 studies.

NIAID Data Ecosystem30

Opportunistic Detection of Type 2 Diabetes using Deep Learning from Frontal Chest Radiographs

影像诊断

糖尿病风险预测

Gifsplanation using Latent Feature Autoencoder. The color heatmap highlights areas of change. The change in central mediastinal adiposity is a primary driver. High predictive values include changes in

Figshare2023-07-08 更新10

Challenge 2018: Task 3: Training

病变分析

影像诊断

Training set from the ISIC 2018 Challenge. When using the ISIC 2018 datasets in your research, please cite the following works: > [1] Noel Codella, Veronica Rotemberg, Philipp Tschandl, M. Emre Celebi

ISIC Archive2021-11-11 更新30

Benchmark Diagnostic MRI and Medical Imaging Dataset

影像诊断

MRI分类

This medical image dataset provides a well-off collection of images to enhance the training of computer vision and artificial intelligence models for accurate diagnosis. By supporting the early detect

NIAID Data Ecosystem10

Tri-classification results of images from WBCs dataset.

资源简介：

相关数据集