Summary of From Radiologist Report to Image Label: Assessing Latent Dirichlet Allocation in Training Neural Networks For Orthopedic Radiograph Classification, by Jakub Olczak and Max Gordon
From Radiologist Report to Image Label: Assessing Latent Dirichlet Allocation in Training Neural Networks for Orthopedic Radiograph Classification
by Jakub Olczak, Max Gordon
First submitted to arxiv on: 22 Aug 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper explores the potential of machine learning (ML) in improving the interpretation of orthopedic radiographs. By applying NLP methods, such as Latent Dirichlet Allocation (LDA), and artificial neural networks (ANNs), researchers aim to develop computer-aided decision systems for clinical use. The study focuses on classifying wrist and ankle radiographs from radiologist reports using an automated ML pipeline, including LDA-generated image labels and ANN training. The results show that while LDA was not accurate in labeling orthopedic radiographs, the trained ANN achieved high accuracy in detecting features. This study demonstrates the feasibility of applying ML and ANNs to medical research. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper uses computer science techniques to try to make X-rays better for doctors. They’re trying to teach computers to understand what’s on X-ray pictures by looking at what doctors write about them. The idea is that a computer could help doctors make decisions faster and more accurately. To do this, they used special computer programs called LDA and ANNs. They tested these programs on X-ray pictures of wrists and ankles from Sweden. Even though the LDA program didn’t work very well, the ANN was able to learn some things from the pictures. This shows that computers can be useful in medical research. |
Keywords
» Artificial intelligence » Machine learning » Nlp
