Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/249516
DC Field | Value | |
---|---|---|
dc.title | AI IN JAUNDICE DIAGNOSIS AND TREATMENT | |
dc.contributor.author | YU JIACHEN | |
dc.date.accessioned | 2024-08-13T02:44:22Z | |
dc.date.available | 2024-08-13T02:44:22Z | |
dc.date.issued | 2024-05-27 | |
dc.identifier.citation | YU JIACHEN (2024-05-27). AI IN JAUNDICE DIAGNOSIS AND TREATMENT. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/249516 | |
dc.language.iso | en | |
dc.subject | color constancy, neontal jaundice, machine learning, instance segmentation, image processing, computer vision | |
dc.type | Thesis | |
dc.contributor.department | BIOMEDICAL ENGINEERING | |
dc.contributor.supervisor | Sangho Kim | |
dc.description.degree | Master's | |
dc.description.degreeconferred | MASTER OF ENGINEERING (CDE) | |
dc.identifier.orcid | 0009-0000-3993-8416 | |
Appears in Collections: | Master's Theses (Closed) |
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