地球资源数据云——数据资源详情
微钙化分类
该数据集《Microcalcification Classification》主要用于二分类任务，数据形态以图像为主，应用场景偏向医疗健康。 题目说明：Cancer Classification Problem with severely skewed class distribution. 任务类型：图像二分类。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 注意事项：疑似存在类别不均衡，建议使用分层抽样、类别权重与 F1/Recall 指标。 可用文件：microcalcification.csv。 The imbalanced classification dataset is the mammography dataset that involves detecting breast cancer from radiological scans, specifically the presence of clusters of microcalcification that appear bright on a mammogram. This dataset was constructed by scanning the images, segmenting them into candidate objects, and using computer vision techniques to describe each candidate object. Features Area of object (in pixels). Average gray level of the object.
摘要概览
该数据集《Microcalcification Classification》主要用于二分类任务，数据形态以图像为主，应用场景偏向医疗健康。 题目说明：Cancer Classification Problem with severely skewed class distribution.
任务类型：图像二分类。
建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。
注意事项：疑似存在类别不均衡，建议使用分层抽样、类别权重与 F1/Recall 指标。
可用文件：microcalcification.csv。
The imbalanced classification dataset is the mammography dataset that involves detecting breast cancer from radiological scans, specifically the presence of clusters of microcalcification that appear bright on a mammogram.
This dataset was constructed by scanning the images, segmenting them into candidate objects, and using computer vision techniques to describe each candidate object.
Features
Area of object (in pixels).
Average gray level of the object.