Advanced image understanding with deep learning in real-world applications
Image augmentation and segmentation are crucial tasks in biomedical imaging applications. Deep learning has attained promising accuracy in many real-life applications. However, most of the cases rely on supervised learning requiring a large amount of labelled data. Obtaining medical images is diffic...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/141410 |