IMAGE SYNTHESIS USING GENERATIVE ADVERSARIAL NETWORK TO OVERCOME IMBALANCE PROBLEMS IN CHEST X-RAY IMAGE CLASSIFICATION CASE
The imbalance of datasets in chest X-ray presents a significant challenge in building accurate and reliable pre-diagnosis models. Imbalance occurs when one label within the dataset has a much lower occurrence compared to other labels. Utilizing an imbalanced dataset for pre-diagnosis model constr...
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| 格式: | Theses |
| 語言: | Indonesia |
| 在線閱讀: | https://digilib.itb.ac.id/gdl/view/73938 |
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| 機構: | Institut Teknologi Bandung |
| 語言: | Indonesia |