Breast Ultrasound Images Dataset (BUSI)

This is a curated version of the original Breast Ultrasound Dataset (BUSI). The original dataset was developed by W. Al-Dhabyani et al. in https://www.sciencedirect.com/science/article/pii/S2352340919312181. This dataset was partitioned 70-20-10 and used for the work "Dataset Pruning for Semantic Segmentation using MedSAM" Original paper citation: Walid Al-Dhabyani, Mohammed Gomaa, Hussien Khaled, Aly Fahmy,Dataset of breast ultrasound images,Data in Brief,Volume 28,2020,104863,ISSN 2352-3409,https://doi.org/10.1016/j.dib.2019.104863.(https://www.sciencedirect.com/science/article/pii/S2352340919312181)Abstract: Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of early deaths. The data presented in this article reviews the medical images of breast cancer using ultrasound scan. Breast Ultrasound Dataset is categorized into three classes: normal, benign, and malignant images. Breast ultrasound images can produce great results in classification, detection, and segmentation of breast cancer when combined with machine learning.Keywords: Ultrasound; Breast cancer; Medical images; Dataset; Deep learning; Classification; Segmentation; Detection