Machine learning for classification of cutaneous sebaceous neoplasms: implementing decision tree model using cytological and architectural features

This observational study aims to describe and compare histopathological, architectural, and nuclear characteristics of sebaceous lesions and utilized these characteristics to develop a predictive classificatio...
Source: Diagnostic Pathology - Category: Pathology Authors: Tags: Research Source Type: research