Thyroid Nodule Ultrasound dataset

We construct the Thyroid Nodule Ultrasound (TNUS) dataset with thyroid nodule positions and puncture annotations, lacking in existing datasets. It supports future research in automating detection and diagnosis, enhancing diagnostic accuracy and clinical applications. The TNUS dataset is a curated collection of thyroid nodule ultrasound (US) images designed to support research in puncture position detection and nodule segmentation. It contains 4,376 images with puncture position annotations and 2,626 additional images with thyroid/nodule masks. Data were collected from a local hospital and rigorously preprocessed to ensure quality.

针对现有数据集普遍缺失甲状腺结节位置标注与穿刺标注的现状，我们构建了甲状腺结节超声（Thyroid Nodule Ultrasound，TNUS）数据集。该数据集可为自动化检测与诊断、提升诊断精度及推动临床应用相关的后续研究提供支撑。TNUS数据集是一套经过精心整理的甲状腺结节超声（US）图像集合，旨在为穿刺位置检测与结节分割领域的研究提供支持。该数据集包含4376张带有穿刺位置标注的超声图像，以及额外2626张带有甲状腺/结节掩码的超声图像。所有数据采集自本地医院，并经过严格预处理以保障数据质量。

搜集汇总

背景与挑战

背景概述

Thyroid Nodule Ultrasound dataset是一个包含甲状腺结节超声图像的标准数据集，旨在支持穿刺位置检测和结节分割的研究。数据集包含4,376张带有穿刺位置注释的图像和2,626张带有甲状腺/结节掩膜的额外图像，数据来自当地医院并经过严格预处理。