Medical image fusion based on machine learning for health diagnosis and monitoring of colorectal cancer

Peng，Yifeng1,2; Deng，Haijun2

2024-12-01

10.1186/s12880-024-01207-6

BMC Medical Imaging   影响因子和分区

1471-2342

With the rapid development of medical imaging technology and computer technology, the medical imaging artificial intelligence of computer-aided diagnosis based on machine learning has become an important part of modern medical diagnosis. With the application of medical image security technology, people realize that the difficulty of its development is the inherent defect of advanced image processing technology. This paper introduces the background of colorectal cancer diagnosis and monitoring, and then carries out academic research on the medical imaging artificial intelligence of colorectal cancer diagnosis and monitoring and machine learning, and finally summarizes it with the advanced computational intelligence system for the application of safe medical imaging.In the experimental part, this paper wants to carry out the staging preparation stage. It was concluded that the staging preparation stage of group Y was higher than that of group X and the difference was statistically significant. Then the overall accuracy rate of multimodal medical image fusion was 69.5% through pathological staging comparison. Finally, the diagnostic rate, the number of patients with effective treatment and satisfaction were analyzed. Finally, the average diagnostic rate of the new diagnosis method was 8.75% higher than that of the traditional diagnosis method. With the development of computer science and technology, the application field was expanding constantly. Computer aided diagnosis technology combining computer and medical images has become a research hotspot.

Colorectal Cancer Diagnosis Computational Intelligence Systems Medical Image Fusion Multimodal Medicine Safety Medicine

SCI

英语

第一

CLINICAL MEDICINE

2-s2.0-85183060129

Scopus

1.Department of General Surgery,Southern University of Science and Technology Hospital,Shenzhen,Guangdong,518055,China
2.Department of General Surgery,Nanfang Hospital,Southern Medical University,Guangzhou,Guangdong,510515,China

Peng，Yifeng,Deng，Haijun. Medical image fusion based on machine learning for health diagnosis and monitoring of colorectal cancer[J]. BMC Medical Imaging,2024,24(1).

Peng，Yifeng,&Deng，Haijun.(2024).Medical image fusion based on machine learning for health diagnosis and monitoring of colorectal cancer.BMC Medical Imaging,24(1).

Peng，Yifeng,et al."Medical image fusion based on machine learning for health diagnosis and monitoring of colorectal cancer".BMC Medical Imaging 24.1(2024).