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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| 主要な著者: | , , , , , , , , , , , , , , |
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| フォーマット: | Conference or Workshop Item |
| 出版事項: |
2021
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| 主題: | |
| オンライン･アクセス: | http://eprints.um.edu.my/35582/ |
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