Raw data.rar

NIAID Data Ecosystem2026-05-02 收录

宫颈癌病变分类

深度学习医学影像

数据链接：

https://figshare.com/articles/dataset/Raw_data_rar/27199623 数据链接链接失效反馈

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资源简介：

Revolutionizing Cervical Cancer Diagnostics with Deep Learning: The Impact of SEResNet101 and SE-VGG19 on Lesion Classification

创建时间：

2024-10-10

心脏图像分割

深度学习医学影像

This record contains raw data related to the article "Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and

NIAID Data Ecosystem70

Results of 5-fold cross validation.

专科疾病预测

深度学习医学影像

Purpose To establish a deep learning artificial intelligence model to predict the risk of long-term fellow eye neovascularization in unilateral type 3 macular neovascularization (MNV). Methods This re

NIAID Data Ecosystem30

The MIAS dataset results applied using the VGG-16 pre-trained CNN, and GWO.

乳腺X光图像分析

深度学习医学影像

The MIAS dataset results applied using the VGG-16 pre-trained CNN, and GWO.

NIAID Data Ecosystem10

Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning

心血管影像与诊断

深度学习医学影像

Objectives: To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation. Background: Segmentation of cardiovascular images is resource-i

NIAID Data Ecosystem70

Kappa consistency ranges.

胆囊癌影像诊断

深度学习医学影像

Gallbladder cancer, a common yet often under diagnosed malignancy, is typically characterized by late detection and a poor prognosis. The rise of deep learning has introduced new methods for its early

Figshare2025-09-16 更新20

Raw data.rar

资源简介：

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