| Technical Name | Artificial segmentation of skin cross sectional images with cellular resolution | ||
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| Project Operator | National Taiwan University | ||
| Project Host | 黃升龍 | ||
| Summary | The morphology of the dermal-epidermal junction (DEJ) has been proven to serve as an indicator of skin cancersdiseases. Hence, if a machine learning algorithm is able to detect this region, it is highly probable that it will also discern between healthycancerous tissueassess on the state of the skin for different pathologies. Optical coherence tomography (OCT) offers an imaging depth |
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| Scientific Breakthrough | - |
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| Industrial Applicability | - |
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| Keyword | __ __ | ||
| Notes | |||
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