Summary of Explainable Concept Mappings Of Mri: Revealing the Mechanisms Underlying Deep Learning-based Brain Disease Classification, by Christian Tinauer et al.
Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification
by Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer
First submitted to arxiv on: 16 Apr 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 investigates the underlying learned concepts in deep neural networks used for classifying Alzheimer’s disease, despite recent studies achieving high accuracy. The study aims to bridge this knowledge gap by analyzing the classification process and identifying key features that contribute to the network’s performance. To achieve this, the authors employ [insert relevant methods and techniques] on [dataset/task name]. The paper’s results and insights have implications for improving Alzheimer’s disease diagnosis and treatment. Keywords: Alzheimer’s disease, deep learning, neural networks, classification. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research looks at what doctors call “deep learning” to help diagnose Alzheimer’s disease. Despite being really good at predicting the disease, we don’t know exactly how these computer systems are making decisions. This study tries to figure out what features or clues these computers are using to make predictions. By doing this, the researchers hope to improve our understanding of how to better diagnose and treat Alzheimer’s. |
Keywords
» Artificial intelligence » Classification » Deep learning
