Related Experiment Video
Updated: Mar 20, 2026
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
The research on medical image classification algorithm based on PLSA-BOW model
1College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
Background:
With the rapid development of modern medical imaging technology, medical image classification has become more important for medical diagnosis and treatment.
Objective:
To solve the existence of polysemous words and synonyms problem, this study combines the word bag model with PLSA (Probabilistic Latent Semantic Analysis) and proposes the PLSA-BOW (Probabilistic Latent Semantic Analysis-Bag of Words) model.
Methods:
In this paper we introduce the bag of words model in text field to image field, and build the model of visual bag of words model.
Results:
The method enables the word bag model-based classification method to be further improved in accuracy.
Conclusions:
The experimental results show that the PLSA-BOW model for medical image classification can lead to a more accurate classification.
