Machine learning for classification of cutaneous sebaceous neoplasms: implementing decision tree model using cytological and architectural features
Abstract Background This observational study aims to describe and compare histopathological, architectural, and nuclear characteristics of sebaceous lesions and utilized these characteristics to develop a predictive classification approach using machine learning algorithms. Methods This cross-sectio...
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| Main Authors: | , , , , , , |
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| Format: | Book |
| Published: |
BMC,
2023-08-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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