MODIFICATION OF AUCMEDI FRAMEWORK FOR THE APPLICATION OF POSTHOC BASED EXPLAINABLE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGE ANALYSIS
Deep Learning shows remarkable performance in medical image analysis, such as object segmentation and computer-based diagnosis. However, deep learning models are often considered "black boxes" due to their complex and opaque decision-making processes. Explainable Artificial Intelligence...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/86196 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |