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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Bibliographic Details
Main Author: Faris Muzakki, Muhammad
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/73938
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Institution: Institut Teknologi Bandung
Language: Indonesia