一种脉管浸润检测方法、装置、计算机设备及存储介质

本发明实施例公开了一种脉管浸润检测方法、装置、计算机设备及存储介质。该方法包括：获取待检测部位的计算机断层扫描图像；对计算机断层扫描图像进行目标区域切割的预处理；将预处理后的计算机断层扫描图像输入训练后的深度学习模型，并输出脉管浸润的第一预测结果。本发明实施例所提供的技术方案，通过根据获取的计算机断层扫描图像经深度学习模型直接预测得到脉管浸润的概率，避免了由医生的主观经验进行判断，实现了脉管浸润程度的自动检测，从而提高了检测结果的准确性，并减轻了医生的工作压力。

The embodiment of the invention discloses a vascular infiltration detection method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a computed tomography image of a to-be-detected part; preprocessing target area cutting on the computed tomography image; and inputting the preprocessed computed tomography image into the trained deep learning model, and outputting a first prediction result of vascular infiltration. According to the technical scheme provided by the embodiment of the invention, the probability of vascular infiltration is directly predicted through the deep learning model according to the acquired computed tomography image, judgment by subjective experience of a doctor is avoided, and automatic detection of the vascular infiltration degree is realized, so that the accuracy of a detection result is improved, and the detection efficiency is improved. Working pressure of doctors is reduced.