RSNA Screening Mammography Breast Cancer Detection (RSNA-SMBC) Dataset

According to the WHO, breast cancer is the most commonly occurring cancer worldwide. In 2020 alone, there were 2.3 million new breast cancer diagnoses and 685,000 deaths. Yet breast cancer mortality in high-income countries has dropped by 40% since the 1980s when health authorities implemented regular mammography screening in age groups considered at risk. Early detection and treatment are critical to reducing cancer fatalities, and your machine learning skills could help streamline the process radiologists use to evaluate screening mammograms. Currently, early detection of breast cancer requi...据世界卫生组织（WHO）统计，乳腺癌是全球范围内发病率最高的癌症。仅2020年一年，全球新增乳腺癌确诊病例达230万，死亡病例68.5万。自20世纪80年代起，高收入国家的卫生主管部门在被划定为高危的年龄群体中推行常规乳腺钼靶（mammography）筛查，上述国家的乳腺癌死亡率已下降40%。早期发现与治疗是降低癌症致死率的关键，而您的机器学习（machine learning）技术可帮助简化放射科医师评估筛查钼靶影像的工作流程。目前，乳腺癌的早期检测仍需……

搜集汇总

背景与挑战

背景概述

该数据集是北美放射学会（RSNA）发布的筛查乳腺X光片乳腺癌检测数据集，包含近20,000个影像研究，旨在通过机器学习辅助早期乳腺癌检测，以减少癌症死亡率。数据以DCM和CSV文件格式提供，存储在AWS上，仅限非商业用途，如学术研究和教育，并需遵守严格的隐私和使用条款。