A Deep Learning Enabled Chest X-Ray Abnormality Detection Model for Radiology Assistance.
Interpreting chest X-ray images is a challenging task for radiologists due to the complexity of identifying abnormalities accurately. This difficulty persists even among experienced radiologists, leading to potential errors and delays in diagnosis (Pang et al., 2021). Traditional methods of interpre...
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| Main Authors: | , |
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| Format: | Thesis |
| Language: | English |
| Published: |
Kabale University
2024
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12493/2639 |
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