Image Features of Magnetic Resonance Imaging under the Deep Learning Algorithm in the Diagnosis and Nursing of Malignant Tumors
In order to explore the effect of convolutional neural network (CNN) algorithm based on deep learning on magnetic resonance imaging (MRI) images of brain tumor patients and evaluate the practical value of MRI image features based on deep learning algorithm in the clinical diagnosis and nursing of ma...
Main Authors: | Lifang Sun, Xi Hu, Yutao Liu, Hengyu Cai |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2021-01-01
|
Series: | Contrast Media & Molecular Imaging |
Online Access: | http://dx.doi.org/10.1155/2021/1104611 |
Similar Items
-
Magnetic resonance diffusion kurtosis imaging in differential diagnosis of benign and malignant renal tumors
by: Jianxiong Fu, et al.
Published: (2021-01-01) -
Deep Learning-Based Magnetic Resonance Imaging Image Features for Diagnosis of Anterior Cruciate Ligament Injury
by: Zijian Li, et al.
Published: (2021-01-01) -
Diagnosis of Alzheimer's Disease from Brain Magnetic Resonance Imaging Images using Deep Learning Algorithms
by: SUGANTHE, R. C., et al.
Published: (2020-08-01) -
Deep Learning for Accurate Diagnosis of Liver Tumor Based on Magnetic Resonance Imaging and Clinical Data
by: Shi-hui Zhen, et al.
Published: (2020-05-01) -
Scale Invariant Feature Transformation Algorithm-Based Magnetic Resonance Imaging-Assisted Diagnosis of Patients with Stroke and Rehabilitation Nursing
by: Guoying Liu
Published: (2021-01-01)