Discriminative dictionary learning algorithm with pairwise local constraints for histopathological image classification

2021 ◽  
Author(s):  
Hongzhong Tang ◽  
Lizhen Mao ◽  
Shuying Zeng ◽  
Shijun Deng ◽  
Zhaoyang Ai
Keyword(s):  
Image Classification ◽  
Dictionary Learning ◽  
Learning Algorithm ◽  
Local Constraints ◽  
Histopathological Image ◽  
Histopathological Image Classification ◽  
Discriminative Dictionary Learning

Coherence-regularized discriminative dictionary learning for histopathological image classification

2019 ◽  
Vol 13 (5) ◽  
pp. 923-931
Author(s):  
Hongzhong Tang ◽  
Xiao Li ◽  
Xiaogang Zhang ◽  
Dongbo Zhang ◽  
Lizhen Mao ◽  
...  
Keyword(s):  
Image Classification ◽  
Dictionary Learning ◽  
Histopathological Image ◽  
Histopathological Image Classification ◽  
Discriminative Dictionary Learning

scholarly journals Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning

2016 ◽  
Vol 35 (3) ◽  
pp. 738-751 ◽  
Author(s):  
Tiep Huu Vu ◽  
Hojjat Seyed Mousavi ◽  
Vishal Monga ◽  
Ganesh Rao ◽  
U. K. Arvind Rao
Keyword(s):  
Image Classification ◽  
Dictionary Learning ◽  
Discriminative Feature ◽  
Histopathological Image ◽  
Histopathological Image Classification

Feature Selection for Histopathological Image Classification using levy Flight Salp Swarm Optimizer

2019 ◽  
Vol 12 (4) ◽  
pp. 329-337 ◽  
Author(s):  
Venubabu Rachapudi ◽  
Golagani Lavanya Devi
Keyword(s):  
Feature Selection ◽  
Image Classification ◽  
Feature Selection Method ◽  
Selection Method ◽  
Lévy Flight ◽  
Levy Flight ◽  
Local Optima ◽  
Histopathological Image ◽  
Surf Features ◽  
Histopathological Image Classification

Background: An efficient feature selection method for Histopathological image classification plays an important role to eliminate irrelevant and redundant features. Therefore, this paper proposes a new levy flight salp swarm optimizer based feature selection method. Methods: The proposed levy flight salp swarm optimizer based feature selection method uses the levy flight steps for each follower salp to deviate them from local optima. The best solution returns the relevant and non-redundant features, which are fed to different classifiers for efficient and robust image classification. Results: The efficiency of the proposed levy flight salp swarm optimizer has been verified on 20 benchmark functions. The anticipated scheme beats the other considered meta-heuristic approaches. Furthermore, the anticipated feature selection method has shown better reduction in SURF features than other considered methods and performed well for histopathological image classification. Conclusion: This paper proposes an efficient levy flight salp Swarm Optimizer by modifying the step size of follower salp. The proposed modification reduces the chances of sticking into local optima. Furthermore, levy flight salp Swarm Optimizer has been utilized in the selection of optimum features from SURF features for the histopathological image classification. The simulation results validate that proposed method provides optimal values and high classification performance in comparison to other methods.

scholarly journals A Novel Lightweight Deep Learning-Based Histopathological Image Classification Model for IoMT

2021 ◽  
Author(s):  
Koyel Datta Gupta ◽  
Deepak Kumar Sharma ◽  
Shakib Ahmed ◽  
Harsh Gupta ◽  
Deepak Gupta ◽  
...  
Keyword(s):  
Deep Learning ◽  
Image Classification ◽  
Classification Model ◽  
Histopathological Image ◽  
Histopathological Image Classification
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