Deep Learning-Based Key Frame Recognition Algorithm for Adrenal Vascular in X-Ray Imaging

VernacularTitle:基于深度学习的X线造影中肾上腺血管关键帧识别算法
Author: Huimin TAO ^{1
,

2} ; Miao HUANG ; Cong LIU ; Yongtian LIU ; Zhihua HU ; Lili TAO ; Shuping ZHANG
Author Information

1. 上海第二工业大学智能制造与控制工程学院,上海市,201209
2. 上海第二工业大学计算机与信息工程学院,上海市,201209
Keywords: transfer learning; self-attention mechanism; wavelet transform; key frame recognition; adrenal angiography
From: Chinese Journal of Medical Instrumentation 2024;48(2):138-143
CountryChina
Language:Chinese
Abstract: Adrenal vein sampling is required for the staging diagnosis of primary aldosteronism,and the frames in which the adrenal veins are presented are called key frames.Currently,the selection of key frames relies on the doctor's visual judgement which is time-consuming and laborious.This study proposes a key frame recognition algorithm based on deep learning.Firstly,wavelet denoising and multi-scale vessel-enhanced filtering are used to preserve the morphological features of the adrenal veins.Furthermore,by incorporating the self-attention mechanism,an improved recognition model called ResNet50-SA is obtained.Compared with commonly used transfer learning,the new model achieves 97.11%in accuracy,precision,recall,F1,and AUC,which is superior to other models and can help clinicians quickly identify key frames in adrenal veins.