Clinically guided trainable soft attention for early detection of oral cancer
Oral cancer disproportionately affects low- and middle-income countries, where a lack of access to appropriate medical care contributes towards late disease presentation. Using artificial intelligence to facilitate the automated identification of high-risk oral lesions can improve patient survival r...
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| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/35582/ |
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