BUNNY6472/nnUNet-Breast-Cancer-Ultrasound

该数据集是一个用于nnU-Net v2的乳腺超声分割数据集，包含780张乳腺超声图像，每张图像都有对应的分割掩码。图像分为三类：正常、良性和恶性。数据集已经按照nnU-Net v2的格式进行了预处理和结构化，便于训练和推理。数据来源于25至75岁的女性患者，采集于2018年，平均分辨率为500×500像素，存储为PNG格式。

This dataset is a breast ultrasound segmentation dataset for nnU-Net v2, containing 780 breast ultrasound images, each with corresponding segmentation masks. The images are categorized into three classes: normal, benign, and malignant. The dataset has been preprocessed and structured according to the nnU-Net v2 format for easy training and inference. The data was collected from female patients aged 25 to 75 in 2018, with an average resolution of 500×500 pixels, stored in PNG format.