A Curated Benchmark Dataset for Ultrasound Based Breast Lesion Analysis (Breast-Lesions-USG)

This dataset consists of 256 breast ultrasound scans collected from 256 patients and 266 benign and malignant segmented lesions. It includes patient-level labels, image-level annotations, and tumor-level labels with all cases confirmed by follow-up care or biopsy result. Each scan was manually annotated and labeled by a radiologist experienced in breast ultrasound examination. In particular, each tumor was identified in the image via a freehand annotation and labeled according to BIRADS features. The tumor histopathological classification is stated for patients who underwent a biopsy. Patient-level labels include clinical data such as age, breast tissue composition, signs and symptoms. Image-level freehand annotations identify the tumor and other abnormal areas in the image. The tumor and image are labeled with BIRADS category, 7 BIRADS descriptors, and interpretation of critical findings as presence of breast diseases. Additional labels include the method of verification, tumor classification and histopathological diagnosis.本数据集包含256例取自256名患者的乳腺超声扫描图像，以及266处经分割的良、恶性病灶。所有病例均经随访或活检结果验证，数据集涵盖患者级标签、图像级标注以及肿瘤级标签。每幅扫描图像均由一名具备乳腺超声检查经验的放射科医师完成手动标注与标签赋值。具体而言，图像中每一处肿瘤均通过手绘标注完成定位，并依据乳腺影像报告与数据系统（Breast Imaging Reporting and Data System, BIRADS）特征进行标签标注。对于接受活检的患者，还提供了肿瘤的组织病理学分类信息。患者级标签涵盖年龄、乳腺组织构成、体征与症状等临床数据。图像级手绘标注用于定位图像中的肿瘤及其他异常区域。肿瘤与图像均标注有BIRADS分类、7项BIRADS描述特征，以及针对乳腺疾病存在情况的关键征象解读。额外标签还包括验证方式、肿瘤分类及组织病理学诊断结果。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于乳腺病变超声分析的基准数据集，包含256个患者的超声扫描和266个分割病灶，提供多级标注（患者、图像、肿瘤级），所有数据经活检或随访确认，并由专业放射科医生手动标注，适用于乳腺疾病研究和诊断模型开发。