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: Kambiz Kamyab-Hesari, Vahidehsadat Azhari, Ali Ahmadzade, Fahimeh Asadi Amoli, Anahita Najafi, Alireza Hasanzadeh and Alireza Beikmarzehei Tags: Research Source Type: research