[Retracted] Application of Multimodal Fusion Technology in Image Analysis of Pretreatment Examination of Patients with Spinal Injury

Table 1

Comparison of literature with algorithm used.

Author and reference	Issue	Method	Results
Chen et al. [15]	Multimodal retinal image registration	Harris-PIIFD	168—pair of retinal images, acceptable rate—89.9% and incorrect rate—0.6%
Ghassabi et al. [16]	Fail to register color retinal images	UR-SIFT-PIIFD	120—pair of retinal images, successful rate—90%, RMSE—2.7%
Wang et al. [17]	Multimodal retinal image registration	SURF-PIIFD-RPM	142—pair of retinal images, acceptable rate—91.55%, and RMSE—8.07%
Tang et al. [34]	Distances in front of or behind the focus plane are defocused and blurred	p-CNN	50000 images for training and 10000 images for testing, acceptable rate—95.95%, and RMSE—2.4%
Yang et al. [33]	Multifocus image fusion	MLFCNN	60 million pair for training and 10 sets multifocus images for testing, accuracy rate—99.84%, and training time—5.0 hours
Ours	Imaging screening techniques for spinal injuries	DCE-MRI	29057—training data and 11059—testing data, ACC—86.00%, SE—91.00%, SP–89.00%, and AUC—87.00%