DenseNet-Based Classification of MRI Images for Detecting the Difference before and after Treating Liver Cancer
This study aimed to explore the evaluation of Adriamycin-loaded microspheres in the treatment of liver cancer under DenseNet-based magnetic resonance imaging (MRI) image classification algorithm. According to different treatment methods, the research objects were classified into a normal saline (sal...
Main Author: | Jianbo Peng |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Scientific Programming |
Online Access: | http://dx.doi.org/10.1155/2021/4609256 |
Similar Items
-
Multiple Feature Reweight DenseNet for Image Classification
by: Ke Zhang, et al.
Published: (2019-01-01) -
Automatic DenseNet Sparsification
by: Tao Li, et al.
Published: (2020-01-01) -
Dermoscopy Image Classification Based on StyleGAN and DenseNet201
by: Chen Zhao, et al.
Published: (2021-01-01) -
FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images
by: Adekanmi A. Adegun, et al.
Published: (2020-01-01) -
Reverse active learning based atrous DenseNet for pathological image classification
by: Yuexiang Li, et al.
Published: (2019-08-01)