PLISM数据集是一个预处理后的医学图像数据集,直接来源于owkin/plism-dataset-tiles。该数据集包含91个.h5文件,每个文件包含16278个转换为numpy数组的图像,便于进行图像特征提取。这些图像被用于创建深度学习模型,并评估模型在数字病理学中的鲁棒性和效率。数据集遵循CC BY 4.0许可。
The colour feature extracted by the aforementioned colour feature extraction method (refer to Method: Colour feature extraction section), is also available as the file colour_feature_raw.xlsx, where p
SIFT is the Scale Invariant Feature Transform, amd oBIFs are oriented Basic Image Features – alternative methods for analyzing local image structure. To allow comparison between rows, all scores are c
Abstract Introduction Breast cancer is the first leading cause of death for women in Brazil as well as in most countries in the world. Due to the relation between the breast density and the risk of br