Optical MRI imaging based on computer vision for extracting and analyzing morphological features of renal tumors

Computer vision technology is more and more widely used in the market. Target detection and feature extraction are two important auxiliary means of this technique, which are helpful to analyze target motion data. However, in the field of biology, there are some data limitations in the analysis of targets such as bacteria and tumors, which need to be further explored. Optical MRI imaging technology based on computer vision provides a new way to extract and analyze morphological features of renal tumors. In this paper, an optical MRI imaging method based on computer vision is designed and developed for the extraction and analysis of morphological features of kidney tumors. By using optical MRI imaging technology based on computer vision, the morphological characteristics of kidney tumors were extracted by analyzing the optical characteristics and MRI images of kidney tumors, and a simulation model was established to simulate the morphological characteristics of different types of kidney tumors, and feature extraction and analysis were carried out by computer algorithm. Through the analysis of the simulation model, the morphological characteristics of renal tumors were extracted and analyzed, which provided a new and non-invasive method for clinical diagnosis and treatment of renal tumors.

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Publication Details

Journal
SLAS TECHNOLOGY
Published
2024-09-16
DOI
https://doi.org/10.1016/j.slast.2024.100192
Citations
2
Primary Topic
Digital Imaging for Blood Diseases
Type
article
Field-Weighted Citation Impact
0.50
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article

Optical MRI imaging based on computer vision for extracting and analyzing morphological features of renal tumors

Boyuan Ding, Wu Deng, Yi Wei, Jia Xu et al.
2 citations
SLAS TECHNOLOGY
Digital Imaging for Blood Diseases
0.50
article

Optical MRI imaging based on computer vision for extracting and analyzing morphological features of renal tumors

Boyuan Ding, Wu Deng, Yi Wei, Jia Xu, Xiaohai He, Songcen Dai, Chao Wei, Hui Pu, Xinpeng Ren
article en
2 citations

Abstract

Computer vision technology is more and more widely used in the market. Target detection and feature extraction are two important auxiliary means of this technique, which are helpful to analyze target motion data. However, in the field of biology, there are some data limitations in the analysis of targets such as bacteria and tumors, which need to be further explored. Optical MRI imaging technology based on computer vision provides a new way to extract and analyze morphological features of renal tumors. In this paper, an optical MRI imaging method based on computer vision is designed and developed for the extraction and analysis of morphological features of kidney tumors. By using optical MRI imaging technology based on computer vision, the morphological characteristics of kidney tumors were extracted by analyzing the optical characteristics and MRI images of kidney tumors, and a simulation model was established to simulate the morphological characteristics of different types of kidney tumors, and feature extraction and analysis were carried out by computer algorithm. Through the analysis of the simulation model, the morphological characteristics of renal tumors were extracted and analyzed, which provided a new and non-invasive method for clinical diagnosis and treatment of renal tumors.

SLAS TECHNOLOGYVol. 29(5)
Sichuan University (CN), West China Medical Center of Sichuan University (CN), West China Hospital of Sichuan University (CN)
Zero hunger
Openalex Percentile: Top 35%
Digital Imaging for Blood Diseases
0.50
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Optical MRI imaging based on computer vision for extracting and analyzing morphological features of renal tumors — Boyuan Ding, Wu Deng, et al. · SLAS TECHNOLOGY (2024) | TGRS Research Map | TGRS