ROBUSTNESS OF CONVOLUTIONAL NEURAL NETWORK ON VARIOUS WINDOWING FOR RECOGNITION OF PATTERNS IN CHEST CT IMAGES
Convolutional Neural Network (CNN) has been widely applied to analyze images as diagnostic support. Nowadays, CT Scan is the most commonly used modality for clinical diagnosis. Windowing techniques can be used to interpret the CT images displayed on a computer screen. The function of this techniq...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/71840 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |