Shengtao Zhang← All publications

Scientific Data · 2026

A Chain-of-thought Reasoning Breast Ultrasound Dataset Covering All Histopathology Categories

Haojun Yu, Youcheng Li, Zihan Niu, Nan Zhang, Xuantong Gong, Huan Li, Zhiying Zou, Haifeng Qi, Zhenxiao Cao, Zijie Lan, Xingjian Yuan, Jiating He, Haokai Zhang, Shengtao Zhang, Zicheng Wang, Dong Wang, Ziwei Zhao, Congying Chen, Yong Wang, Wangyan Qin, Qingli Zhu, Liwei Wang

MultimodalDataReasoning

Abstract

BUS-CoT

BUS-CoT is a multimodal breast-ultrasound dataset designed to cover the full range of histopathology categories while pairing visual evidence with structured diagnostic reasoning. It supports research on clinically grounded chain-of-thought, robust multimodal understanding, and evaluation across diverse lesion types, with public data and reproducible resources released alongside the paper.

A reasoning-rich breast ultrasound resource that connects images, pathology coverage, and clinically grounded chains of thought.