B超影像数据

B超影像数据整合了超大规模、多部位的高分辨率图像，涵盖腹部（肝、胆、胰、脾、肾等）、甲状腺、乳腺、妇科、心血管等多个临床常见检查区域 ，部分图像含多普勒血流信息。本数据支持对病灶边界、形态与血流特征的定量分析。可用于构建人工智能模型，提升B超图像自动识别精度，推动智能诊断系统发展。

This B-mode ultrasound imaging dataset integrates ultra-large-scale, multi-site high-resolution images, covering multiple clinically common examination areas including the abdomen (liver, gallbladder, pancreas, spleen, kidney, etc.), thyroid gland, breast, gynecology, cardiovascular system, and more. Some of the images contain Doppler blood flow information. This dataset supports quantitative analysis of lesion boundaries, morphology and blood flow characteristics, and can be used to construct artificial intelligence models to improve the automatic recognition accuracy of B-mode ultrasound images and promote the development of intelligent diagnosis systems.

搜集汇总

背景与挑战

背景概述

B超影像数据集包含多部位高分辨率图像，涵盖腹部、甲状腺等多个临床检查区域，支持病灶特征分析，适用于AI模型构建和智能诊断系统开发。