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资源简介：
Characteristics of 148 breast lesions.
应用场景：
创建时间：
2020-09-17
相关数据集
bus_cot_preprocessed
该数据集是一个医学影像数据集，专门用于乳腺影像分析任务。数据集包含6440个训练样本，总大小约648MB。每个样本包含以下核心字段：原始医学图像（image字段）、对应的分割掩码图像（mask字段）、图像文件路径（image_file和mask_file）、图像模态信息（imagemodality）、BI-RADS分类标签（birads）以及推理响应文本（reasoning_response）。数
Hugging Face2026-05-18 更新240
GAN-based data augmentation to improve breast Ultrasound and Mammography Mass Classification
Various GAN methods, including Wasserstein GAN with Gradient Penalty (WGAN-GP), Cycle GAN, Conditional GAN, and Spectral Normalization GAN (SNGAN), were tested for data augmentation in breast regions
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Mammographic features of 91 microcalcification lesions.
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Figshare2015-12-02 更新20
Kinetic patterns of DCE-mammogram between benign and malignant breast lesions using 2–4 and 2–10 min time intervals (reader C).
Kinetic patterns of DCE-mammogram between benign and malignant breast lesions using 2–4 and 2–10 min time intervals (reader C).
NIAID Data Ecosystem70
DataSheet_1_Evaluation of the peritumoral features using radiomics and deep learning technology in non-spiculated and noncalcified masses of the breast on mammography.pdf
ObjectiveTo assess the significance of peritumoral features based on deep learning in classifying non-spiculated and noncalcified masses (NSNCM) on mammography. MethodsWe retrospectively screened the
NIAID Data Ecosystem30
