首页/数据集/Performance of BC classification using VGG16, Resnet50 and DenseNet-121.

Performance of BC classification using VGG16, Resnet50 and DenseNet-121.

NIAID Data Ecosystem2026-03-11 收录

数据链接：

https://figshare.com/articles/dataset/Performance_of_BC_classification_using_VGG16_Resnet50_and_DenseNet-121_/12245720 数据链接链接失效反馈

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The best performance is highlighted by boldface.

应用场景：

创建时间：

2020-05-04

乳腺癌影像

FDG-PET影像分析

ALND: axillary lymph node dissection; BCT: breast conserving therapy; LN, lymph node; MRM: modified radical mastectomy; SSM+TRAM: skin-sparing mastectomy and transverse rectus abdominus myocutaneous;

NIAID Data Ecosystem60

BCMID: Breast Cancer Multimodal Imaging Dataset (Updated)

乳腺癌影像

计算机辅助诊断

The Breast Cancer Multimodal Imaging Dataset (BCMID) is the first Multimodal dataset from Egypt breast cancer characterization, sourced from Ayady Almostakbal Hospital in Alexandria. This dataset aims

Zenodo2026-04-19 更新40

In Silico Design and Evaluation of Novel Peptide-Based PET Probe for Noninvasive Imaging of HER2 Expression in Breast Cancer

HER2靶向PET探针

乳腺癌影像

The overexpression of HER2 has been strongly correlated with the pathogenesis and progression of breast cancer. Developing HER2-targeted PET tracers for noninvasive assessment of HER2 expression holds

NIAID Data Ecosystem30

Performance of feature maps obtained with DenseNet121.

图像特征提取

深度学习评估

Performance of feature maps obtained with DenseNet121.

Figshare2026-01-16 更新40

Table_3_Paclitaxel Chemotherapy Elicits Widespread Brain Anisotropy Changes in a Comprehensive Mouse Model of Breast Cancer Survivorship: Evidence From In Vivo Diffusion Weighted Imaging.xlsx

乳腺癌影像

动物模型行为与脑结构变化

Breast cancer is one of the most common diseases in the United States with 1 in 8 women developing the disease in her lifetime. Women who develop breast cancer are often post-menopausal and undergo a

NIAID Data Ecosystem30

Performance of BC classification using VGG16, Resnet50 and DenseNet-121.

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